Added PSS/SSS mex. Added new SSS correlation algorithms. Use PSR in PSS

master
ismagom 10 years ago
parent 540eb98fdb
commit 28ab43c6e9

@ -221,7 +221,7 @@ int main(int argc, char **argv) {
sss_idx = peak_pos[N_id_2]-2*(symbol_sz+CP(symbol_sz,CPNORM_LEN));
if (sss_idx >= 0) {
sss_synch_m0m1(&sss[N_id_2], &input[sss_idx],
sss_synch_m0m1_diff(&sss[N_id_2], &input[sss_idx],
&m0, &m0_value, &m1, &m1_value);
cfo[frame_cnt] = pss_synch_cfo_compute(&pss[N_id_2], &input[peak_pos[N_id_2]-128]);

@ -93,10 +93,11 @@ typedef enum {CPNORM, CPEXT} lte_cp_t;
#define SLOT_LEN_RE(nof_prb, cp) (nof_prb*RE_X_RB*CP_NSYMB(cp))
#define SF_LEN_RE(nof_prb, cp) (2*SLOT_LEN_RE(nof_prb, cp))
#define SLOT_IDX_CPNORM(idx, symbol_sz) (idx==0?(CP(symbol_sz, CPNORM_0_LEN)):(CP(symbol_sz, CPNORM_0_LEN)+idx*(symbol_sz+CP(symbol_sz, CPNORM_LEN))))
#define SLOT_IDX_CPNORM(symbol_idx, symbol_sz) (symbol_idx==0?0:(symbol_sz + CP(symbol_sz, CPNORM_0_LEN) + \
(symbol_idx-1)*(symbol_sz+CP(symbol_sz, CPNORM_LEN))))
#define SLOT_IDX_CPEXT(idx, symbol_sz) (idx*(symbol_sz+CP(symbol_sz, CPEXT_LEN)))
#define SAMPLE_IDX(nof_prb, symbol_idx, sample_idx) ((symbol_idx)*(nof_prb)*(RE_X_RB) + sample_idx)
#define RE_IDX(nof_prb, symbol_idx, sample_idx) ((symbol_idx)*(nof_prb)*(RE_X_RB) + sample_idx)
#define RS_VSHIFT(cell_id) (cell_id%6)

@ -46,6 +46,13 @@ typedef _Complex float cf_t; /* this is only a shortcut */
#define PSS_RE 6*12
/* PSS processing options */
//#define PSS_ACCUMULATE_ABS // If enabled, accumulates the correlation absolute value on consecutive calls to pss_synch_find_pss
#define PSS_ABS_SQUARE // If enabled, compute abs square, otherwise computes absolute value only
#define PSS_RETURN_PSR // If enabled returns peak to side-lobe ratio, otherwise returns absolute peak value
/**
* The pss_synch_t object provides functions for fast computation of the crosscorrelation
@ -62,6 +69,8 @@ typedef _Complex float cf_t; /* this is only a shortcut */
/* Low-level API */
typedef struct LIBLTE_API {
dft_plan_t dftp_input;
#ifdef CONVOLUTION_FFT
conv_fft_cc_t conv_fft;
#endif
@ -70,10 +79,14 @@ typedef struct LIBLTE_API {
uint32_t N_id_2;
uint32_t fft_size;
cf_t pss_signal_time[3][PSS_LEN];
cf_t *pss_signal_freq[3]; // One sequence for each N_id_2
cf_t *tmp_input;
cf_t *conv_output;
#ifdef PSS_ACCUMULATE_ABS
float *conv_output_abs;
#endif
float *conv_output_avg;
}pss_synch_t;
typedef enum { PSS_TX, PSS_RX } pss_direction_t;
@ -88,6 +101,8 @@ LIBLTE_API int pss_synch_init(pss_synch_t *q,
LIBLTE_API void pss_synch_free(pss_synch_t *q);
LIBLTE_API void pss_synch_reset(pss_synch_t *q);
LIBLTE_API int pss_generate(cf_t *signal,
uint32_t N_id_2);
@ -103,6 +118,10 @@ LIBLTE_API int pss_synch_find_pss(pss_synch_t *q,
cf_t *input,
float *corr_peak_value);
LIBLTE_API int pss_synch_chest(pss_synch_t *q,
cf_t *input,
cf_t ce[PSS_LEN]);
LIBLTE_API float pss_synch_cfo_compute(pss_synch_t* q,
cf_t *pss_recv);

@ -42,8 +42,6 @@ typedef _Complex float cf_t; /* this is only a shortcut */
#define N_SSS 31
#define SSS_LEN 2*N_SSS
#define SSS_MAX_FFT_LEN 2048
struct sss_tables{
int z1[N_SSS][N_SSS];
int c[2][N_SSS];
@ -54,9 +52,10 @@ struct sss_tables{
* Should use vec_malloc() to make it platform agnostic.
*/
struct fc_tables{
cf_t z1[N_SSS+1][N_SSS+1];
cf_t c[2][N_SSS+1];
cf_t s[N_SSS+1][N_SSS+1];
float z1[N_SSS][N_SSS];
float c[2][N_SSS];
float s[N_SSS][N_SSS];
float sd[N_SSS][N_SSS-1];
};
@ -75,6 +74,9 @@ typedef struct LIBLTE_API {
uint32_t N_id_1_table[30][30];
struct fc_tables fc_tables[3]; // one for each N_id_2
float corr_output_m0[N_SSS];
float corr_output_m1[N_SSS];
}sss_synch_t;
@ -99,12 +101,30 @@ LIBLTE_API void sss_put_slot(float *sss,
LIBLTE_API int sss_synch_set_N_id_2(sss_synch_t *q,
uint32_t N_id_2);
LIBLTE_API int sss_synch_m0m1(sss_synch_t *q,
cf_t *input,
uint32_t *m0,
float *m0_value,
uint32_t *m1,
float *m1_value);
LIBLTE_API int sss_synch_m0m1_partial(sss_synch_t *q,
cf_t *input,
uint32_t M,
cf_t ce[2*N_SSS],
uint32_t *m0,
float *m0_value,
uint32_t *m1,
float *m1_value);
LIBLTE_API int sss_synch_m0m1_diff_coh(sss_synch_t *q,
cf_t *input,
cf_t ce[2*N_SSS],
uint32_t *m0,
float *m0_value,
uint32_t *m1,
float *m1_value);
LIBLTE_API int sss_synch_m0m1_diff(sss_synch_t *q,
cf_t *input,
uint32_t *m0,
float *m0_value,
uint32_t *m1,
float *m1_value);
LIBLTE_API uint32_t sss_synch_subframe(uint32_t m0,
uint32_t m1);

@ -254,7 +254,7 @@ static void average_pilots(chest_dl_t *q, uint32_t port_id)
}
}
#define cesymb(i) ce[SAMPLE_IDX(q->cell.nof_prb,i,0)]
#define cesymb(i) ce[RE_IDX(q->cell.nof_prb,i,0)]
static void interpolate_pilots(chest_dl_t *q, cf_t *ce, uint32_t port_id)
{

@ -209,7 +209,7 @@ int refsignal_cs_put_sf(lte_cell_t cell, uint32_t port_id, cf_t *pilots, cf_t *s
/* Compute offset frequency index */
fidx = ((refsignal_cs_v(port_id, l) + (cell.id % 6)) % 6);
for (i = 0; i < 2*cell.nof_prb; i++) {
sf_symbols[SAMPLE_IDX(cell.nof_prb, nsymbol, fidx)] = pilots[REFSIGNAL_PILOT_IDX(i,l,cell)];
sf_symbols[RE_IDX(cell.nof_prb, nsymbol, fidx)] = pilots[REFSIGNAL_PILOT_IDX(i,l,cell)];
fidx += RE_X_RB/2; // 1 reference every 6 RE
}
}
@ -238,7 +238,7 @@ int refsignal_cs_get_sf(lte_cell_t cell, uint32_t port_id, cf_t *sf_symbols, cf_
/* Compute offset frequency index */
fidx = ((refsignal_cs_v(port_id, l) + (cell.id % 6)) % 6);
for (i = 0; i < 2*cell.nof_prb; i++) {
pilots[REFSIGNAL_PILOT_IDX(i,l,cell)] = sf_symbols[SAMPLE_IDX(cell.nof_prb, nsymbol, fidx)];
pilots[REFSIGNAL_PILOT_IDX(i,l,cell)] = sf_symbols[RE_IDX(cell.nof_prb, nsymbol, fidx)];
fidx += RE_X_RB/2; // 2 references per PRB
}
}

@ -27,30 +27,82 @@
#include <string.h>
#include <complex.h>
#include <math.h>
#include "liblte/phy/utils/vector.h"
#include "liblte/phy/sync/sss.h"
void corr_all_zs(cf_t *z, cf_t s[N_SSS+1][N_SSS+1], cf_t *output) {
#define MAX_M 3
static void corr_all_zs(cf_t z[N_SSS], float s[N_SSS][N_SSS-1], float output[N_SSS]) {
uint32_t m;
cf_t tmp[N_SSS];
for (m = 0; m < N_SSS; m++) {
output[m] = vec_dot_prod_ccc(z, s[m], N_SSS - 1);
tmp[m] = vec_dot_prod_cfc(z, s[m], N_SSS - 1);
}
vec_abs_square_cf(tmp, output, N_SSS);
}
static void corr_all_sz_partial(cf_t z[N_SSS], float s[N_SSS][N_SSS], uint32_t M, float output[N_SSS]) {
uint32_t Nm = N_SSS/M;
cf_t tmp[N_SSS];
float tmp_abs[MAX_M-1][N_SSS];
int j, m;
float *ptr;
/* Assumes input points to the beginning of the SSS symbol. The SSS symbol start is
* given by SSS_SYMBOL_ST() macro in sss.h.
* Estimates the m0 and m1 values and saves in m0_value and m1_value
* the resulted correlation (higher is more likely)
*
for (j=0;j<M;j++) {
for (m = 0; m < N_SSS; m++) {
tmp[m] = vec_dot_prod_cfc(&z[j*Nm], &s[m][j*Nm], Nm);
}
if (j == 0) {
ptr = output;
} else {
ptr = tmp_abs[j-1];
}
vec_abs_square_cf(tmp, ptr, N_SSS);
}
for (j=1;j<M;j++) {
vec_sum_fff(tmp_abs[j-1], output, output, N_SSS);
}
}
static void extract_pair_sss(sss_synch_t *q, cf_t *input, cf_t *ce, cf_t y[2][N_SSS]) {
cf_t input_fft[SYMBOL_SZ_MAX];
dft_run_c(&q->dftp_input, &input[CP_NORM(5, q->fft_size)], input_fft);
if (ce) {
vec_prod_conj_ccc(&input_fft[q->fft_size/2-N_SSS], ce, &input_fft[q->fft_size/2-N_SSS], 2*N_SSS);
}
for (int i = 0; i < N_SSS; i++) {
y[0][i] = input_fft[q->fft_size/2-N_SSS + 2 * i];
y[1][i] = input_fft[q->fft_size/2-N_SSS + 2 * i + 1];
}
vec_prod_cfc(y[0], q->fc_tables[q->N_id_2].c[0], y[0], N_SSS);
vec_prod_cfc(y[1], q->fc_tables[q->N_id_2].c[1], y[1], N_SSS);
}
int sss_synch_m0m1_diff(sss_synch_t *q, cf_t *input, uint32_t *m0, float *m0_value,
uint32_t *m1, float *m1_value) {
return sss_synch_m0m1_diff_coh(q, input, NULL, m0, m0_value, m1, m1_value);
}
/* Differential SSS estimation.
* Returns m0 and m1 estimates
*
* Source: "SSS Detection Method for Initial Cell Search in 3GPP LTE FDD/TDD Dual Mode Receiver"
* Jung-In Kim, Jung-Su Han, Hee-Jin Roh and Hyung-Jin Choi
*
*/
int sss_synch_m0m1(sss_synch_t *q, cf_t *input, uint32_t *m0, float *m0_value,
int sss_synch_m0m1_diff_coh(sss_synch_t *q, cf_t *input, cf_t ce[2*N_SSS], uint32_t *m0, float *m0_value,
uint32_t *m1, float *m1_value)
{
@ -62,43 +114,63 @@ int sss_synch_m0m1(sss_synch_t *q, cf_t *input, uint32_t *m0, float *m0_value,
m1 != NULL)
{
/* Consider moving to sss_synch_t?? */
cf_t zdelay[N_SSS+1],zconj[N_SSS+1],zprod[N_SSS+1];
cf_t y[2][N_SSS+1], z[N_SSS+1], tmp[N_SSS+1];
float tmp_real[N_SSS+1];
cf_t input_fft[SSS_MAX_FFT_LEN];
uint32_t i;
cf_t yprod[N_SSS];
cf_t y[2][N_SSS];
dft_run_c(&q->dftp_input, input, input_fft);
extract_pair_sss(q, input, ce, y);
for (i = 0; i < N_SSS; i++) {
y[0][i] = input_fft[q->fft_size/2-N_SSS + 2 * i];
y[1][i] = input_fft[q->fft_size/2-N_SSS + 2 * i + 1];
vec_prod_conj_ccc(&y[0][1], y[0], yprod, N_SSS - 1);
corr_all_zs(yprod, q->fc_tables[q->N_id_2].sd, q->corr_output_m0);
*m0 = vec_max_fi(q->corr_output_m0, N_SSS);
if (m0_value) {
*m0_value = q->corr_output_m0[*m0];
}
vec_prod_ccc(y[0], q->fc_tables[q->N_id_2].c[0], z, N_SSS);
memcpy(zdelay, &z[1], (N_SSS - 1) * sizeof(cf_t));
vec_conj_cc(z, zconj, N_SSS - 1);
vec_prod_ccc(zdelay, zconj, zprod, N_SSS - 1);
corr_all_zs(zprod, q->fc_tables[q->N_id_2].s, tmp);
vec_abs_cf(tmp, tmp_real, N_SSS);
*m0 = vec_max_fi(tmp_real, N_SSS);
if (m0_value) {
*m0_value = tmp_real[*m0];
vec_prod_cfc(y[1], q->fc_tables[q->N_id_2].z1[*m0], y[1], N_SSS);
vec_prod_conj_ccc(&y[1][1], y[1], yprod, N_SSS - 1);
corr_all_zs(yprod, q->fc_tables[q->N_id_2].sd, q->corr_output_m1);
*m1 = vec_max_fi(q->corr_output_m1, N_SSS);
if (m1_value) {
*m1_value = q->corr_output_m1[*m1];
}
ret = LIBLTE_SUCCESS;
}
return ret;
}
vec_prod_ccc(y[1], q->fc_tables[q->N_id_2].c[1], tmp, N_SSS);
vec_prod_ccc(tmp, q->fc_tables[q->N_id_2].z1[*m0], z, N_SSS);
memcpy(zdelay, &z[1], (N_SSS - 1) * sizeof(cf_t));
vec_conj_cc(z, zconj, N_SSS - 1);
vec_prod_ccc(zdelay, zconj, zprod, N_SSS - 1);
/* Partial correlation SSS estimation.
* Returns m0 and m1 estimates
*
* Source: "SSS Detection Method for Initial Cell Search in 3GPP LTE FDD/TDD Dual Mode Receiver"
* Jung-In Kim, Jung-Su Han, Hee-Jin Roh and Hyung-Jin Choi
*/
int sss_synch_m0m1_partial(sss_synch_t *q, cf_t *input, uint32_t M, cf_t ce[2*N_SSS], uint32_t *m0, float *m0_value,
uint32_t *m1, float *m1_value)
{
int ret = LIBLTE_ERROR_INVALID_INPUTS;
corr_all_zs(zprod, q->fc_tables[q->N_id_2].s, tmp);
vec_abs_cf(tmp, tmp_real, N_SSS);
*m1 = vec_max_fi(tmp_real, N_SSS);
if (q != NULL &&
input != NULL &&
m0 != NULL &&
m1 != NULL &&
M <= MAX_M)
{
cf_t y[2][N_SSS];
extract_pair_sss(q, input, ce, y);
corr_all_sz_partial(y[0], q->fc_tables[q->N_id_2].s, M, q->corr_output_m0);
*m0 = vec_max_fi(q->corr_output_m0, N_SSS);
if (m0_value) {
*m0_value = q->corr_output_m0[*m0];
}
vec_prod_cfc(y[1], q->fc_tables[q->N_id_2].z1[*m0], y[1], N_SSS);
corr_all_sz_partial(y[1], q->fc_tables[q->N_id_2].s, M, q->corr_output_m1);
*m1 = vec_max_fi(q->corr_output_m1, N_SSS);
if (m1_value) {
*m1_value = tmp_real[*m1];
*m1_value = q->corr_output_m1[*m1];
}
ret = LIBLTE_SUCCESS;
}
@ -110,17 +182,22 @@ void convert_tables(struct fc_tables *fc_tables, struct sss_tables *in) {
for (i = 0; i < N_SSS; i++) {
for (j = 0; j < N_SSS; j++) {
__real__ fc_tables->z1[i][j] = (float) in->z1[i][j];
fc_tables->z1[i][j] = (float) in->z1[i][j];
}
}
for (i = 0; i < N_SSS; i++) {
for (j = 0; j < N_SSS; j++) {
fc_tables->s[i][j] = (float) in->s[i][j];
}
}
for (i = 0; i < N_SSS; i++) {
for (j = 0; j < N_SSS - 1; j++) {
__real__ fc_tables->s[i][j] = (float) in->s[i][j + 1] * in->s[i][j];
fc_tables->sd[i][j] = (float) in->s[i][j + 1] * in->s[i][j];
}
}
for (i = 0; i < 2; i++) {
for (j = 0; j < N_SSS; j++) {
__real__ fc_tables->c[i][j] = (float) in->c[i][j];
fc_tables->c[i][j] = (float) in->c[i][j];
}
}
}

@ -121,7 +121,7 @@ void generate_sss_all_tables(struct sss_tables *tables, uint32_t N_id_2) {
generate_s_all(tables->s, s_t);
generate_z_all(tables->z1, z_t);
for (i = 0; i < 2; i++) {
generate_c(tables->c[i], c_t, N_id_2, i > 0);
generate_c(tables->c[i], c_t, N_id_2, i != 0);
}
}

@ -39,10 +39,9 @@
#include "liblte/phy/utils/debug.h"
int pss_synch_init_N_id_2(cf_t *pss_signal_freq, uint32_t N_id_2, uint32_t fft_size) {
int pss_synch_init_N_id_2(cf_t *pss_signal_time, cf_t *pss_signal_freq, uint32_t N_id_2, uint32_t fft_size) {
dft_plan_t plan;
cf_t pss_signal_pad[2048];
cf_t pss_signal_time[PSS_LEN];
int ret = LIBLTE_ERROR_INVALID_INPUTS;
if (lte_N_id_2_isvalid(N_id_2) &&
@ -65,7 +64,7 @@ int pss_synch_init_N_id_2(cf_t *pss_signal_freq, uint32_t N_id_2, uint32_t fft_s
dft_run_c(&plan, pss_signal_pad, pss_signal_freq);
vec_conj_cc(pss_signal_freq, pss_signal_freq, fft_size);
vec_sc_prod_cfc(pss_signal_freq, 1.0/62.0, pss_signal_freq, fft_size);
vec_sc_prod_cfc(pss_signal_freq, 1.0/PSS_LEN, pss_signal_freq, fft_size);
dft_plan_free(&plan);
@ -99,16 +98,39 @@ int pss_synch_init_fft(pss_synch_t *q, uint32_t frame_size, uint32_t fft_size) {
buffer_size = fft_size + frame_size + 1;
if (dft_plan(&q->dftp_input, fft_size, FORWARD, COMPLEX)) {
fprintf(stderr, "Error creating DFT plan \n");
goto clean_and_exit;
}
dft_plan_set_mirror(&q->dftp_input, true);
dft_plan_set_dc(&q->dftp_input, true);
q->tmp_input = vec_malloc(buffer_size * sizeof(cf_t));
if (!q->tmp_input) {
fprintf(stderr, "Error allocating memory\n");
goto clean_and_exit;
}
bzero(&q->tmp_input[q->frame_size], q->fft_size * sizeof(cf_t));
q->conv_output = vec_malloc(buffer_size * sizeof(cf_t));
if (!q->conv_output) {
fprintf(stderr, "Error allocating memory\n");
goto clean_and_exit;
}
q->conv_output_avg = vec_malloc(buffer_size * sizeof(float));
if (!q->conv_output_avg) {
fprintf(stderr, "Error allocating memory\n");
goto clean_and_exit;
}
#ifdef PSS_ACCUMULATE_ABS
q->conv_output_abs = vec_malloc(buffer_size * sizeof(float));
if (!q->conv_output_abs) {
fprintf(stderr, "Error allocating memory\n");
goto clean_and_exit;
}
#endif
for (N_id_2=0;N_id_2<3;N_id_2++) {
q->pss_signal_freq[N_id_2] = vec_malloc(buffer_size * sizeof(cf_t));
if (!q->pss_signal_freq[N_id_2]) {
@ -116,10 +138,12 @@ int pss_synch_init_fft(pss_synch_t *q, uint32_t frame_size, uint32_t fft_size) {
goto clean_and_exit;
}
/* The PSS is translated into the frequency domain for each N_id_2 */
if (pss_synch_init_N_id_2(q->pss_signal_freq[N_id_2], N_id_2, fft_size)) {
if (pss_synch_init_N_id_2(q->pss_signal_time[N_id_2], q->pss_signal_freq[N_id_2], N_id_2, fft_size)) {
fprintf(stderr, "Error initiating PSS detector for N_id_2=%d fft_size=%d\n", N_id_2, fft_size);
goto clean_and_exit;
}
bzero(&q->pss_signal_freq[N_id_2][q->fft_size], q->frame_size * sizeof(cf_t));
}
#ifdef CONVOLUTION_FFT
if (conv_fft_cc_init(&q->conv_fft, frame_size, fft_size)) {
@ -128,6 +152,8 @@ int pss_synch_init_fft(pss_synch_t *q, uint32_t frame_size, uint32_t fft_size) {
}
#endif
pss_synch_reset(q);
ret = LIBLTE_SUCCESS;
}
@ -157,11 +183,27 @@ void pss_synch_free(pss_synch_t *q) {
if (q->conv_output) {
free(q->conv_output);
}
#ifdef PSS_ACCUMULATE_ABS
if (q->conv_output_abs) {
free(q->conv_output_abs);
}
#endif
if (q->conv_output_avg) {
free(q->conv_output_avg);
}
bzero(q, sizeof(pss_synch_t));
}
}
void pss_synch_reset(pss_synch_t *q) {
#ifdef PSS_ACCUMULATE_ABS
uint32_t buffer_size = q->fft_size + q->frame_size + 1;
bzero(q->conv_output_avg, sizeof(cf_t) * buffer_size);
#endif
}
/**
* This function calculates the Zadoff-Chu sequence.
* @param signal Output array.
@ -219,7 +261,8 @@ int pss_synch_set_N_id_2(pss_synch_t *q, uint32_t N_id_2) {
}
}
/** Returns the index of the PSS correlation peak in a subframe.
/** Performs time-domain PSS correlation.
* Returns the index of the PSS correlation peak in a subframe.
* The frame starts at corr_peak_pos-subframe_size/2.
* The value of the correlation is stored in corr_peak_value.
*
@ -241,9 +284,7 @@ int pss_synch_find_pss(pss_synch_t *q, cf_t *input, float *corr_peak_value)
return LIBLTE_ERROR;
}
bzero(&q->pss_signal_freq[q->N_id_2][q->fft_size], q->frame_size * sizeof(cf_t));
memcpy(q->tmp_input, input, q->frame_size * sizeof(cf_t));
bzero(&q->tmp_input[q->frame_size], q->fft_size * sizeof(cf_t));
/* Correlate input with PSS sequence */
#ifdef CONVOLUTION_FFT
@ -253,16 +294,85 @@ int pss_synch_find_pss(pss_synch_t *q, cf_t *input, float *corr_peak_value)
conv_output_len = conv_cc(input, q->pss_signal_freq[q->N_id_2], q->conv_output, q->frame_size, q->fft_size);
#endif
#ifdef PSS_ACCUMULATE_ABS
#ifdef PSS_ABS_SQUARE
vec_abs_square_cf(q->conv_output, q->conv_output_abs, conv_output_len-1);
#else
vec_abs_cf(q->conv_output, q->conv_output_abs, conv_output_len-1);
#endif
/* Find maximum of the absolute value of the correlation */
corr_peak_pos = vec_max_fi(q->conv_output_abs, conv_output_len-1);
// Normalize correlation output
vec_sc_prod_fff(q->conv_output_abs, 1/q->conv_output_abs[corr_peak_pos], q->conv_output_abs, conv_output_len-1);
vec_sum_fff(q->conv_output_abs, q->conv_output_avg, q->conv_output_avg, conv_output_len-1);
#else
#ifdef PSS_ABS_SQUARE
vec_abs_square_cf(q->conv_output, q->conv_output_avg, conv_output_len-1);
#else
vec_abs_cf(q->conv_output, q->conv_output_avg, conv_output_len-1);
#endif
#endif
/* Find maximum of the absolute value of the correlation */
corr_peak_pos = vec_max_abs_ci(q->conv_output, conv_output_len-1);
corr_peak_pos = vec_max_fi(q->conv_output_avg, conv_output_len-1);
#ifdef PSS_RETURN_PSR
// Find second side lobe
float tmp = q->conv_output_avg[corr_peak_pos];
q->conv_output_avg[corr_peak_pos] = 0;
int side_lobe_pos = vec_max_fi(q->conv_output_avg, conv_output_len-1);
q->conv_output_avg[corr_peak_pos] = tmp;
if (corr_peak_value) {
*corr_peak_value = tmp/q->conv_output_avg[side_lobe_pos];
}
#else
if (corr_peak_value) {
*corr_peak_value = cabsf(q->conv_output[corr_peak_pos]);
*corr_peak_value = q->conv_output_avg[corr_peak_pos];
}
#endif
ret = (int) corr_peak_pos;
}
return ret;
}
LIBLTE_API cf_t *tmp2;
/* Computes frequency-domain channel estimation of the PSS symbol
* input signal is in the time-domain.
* ce is the returned frequency-domain channel estimates.
*/
int pss_synch_chest(pss_synch_t *q, cf_t *input, cf_t ce[PSS_LEN]) {
int ret = LIBLTE_ERROR_INVALID_INPUTS;
cf_t input_fft[SYMBOL_SZ_MAX];
if (q != NULL &&
input != NULL)
{
if (!lte_N_id_2_isvalid(q->N_id_2)) {
fprintf(stderr, "Error finding PSS peak, Must set N_id_2 first\n");
return LIBLTE_ERROR;
}
tmp2 = input_fft;
/* Transform to frequency-domain */
dft_run_c(&q->dftp_input, input, input_fft);
/* Compute channel estimate taking the PSS sequence as reference */
vec_prod_conj_ccc(q->pss_signal_time[q->N_id_2], &input_fft[(q->fft_size-PSS_LEN)/2], ce, PSS_LEN);
ret = LIBLTE_SUCCESS;
}
return ret;
}
/* Returns the CFO estimation given a PSS received sequence
*
* Source: An Efcient CFO Estimation Algorithm for the Downlink of 3GPP-LTE

@ -55,11 +55,12 @@ int sss_synch_init(sss_synch_t *q, uint32_t fft_size) {
sss_synch_free(q);
return LIBLTE_ERROR;
}
dft_plan_set_mirror(&q->dftp_input, true);
dft_plan_set_dc(&q->dftp_input, true);
q->fft_size = fft_size;
generate_N_id_1_table(q->N_id_1_table);
dft_plan_set_mirror(&q->dftp_input, true);
dft_plan_set_dc(&q->dftp_input, true);
for (N_id_2=0;N_id_2<3;N_id_2++) {
generate_sss_all_tables(&sss_tables, N_id_2);
@ -81,6 +82,7 @@ int sss_synch_realloc(sss_synch_t *q, uint32_t fft_size) {
return LIBLTE_ERROR;
}
dft_plan_set_mirror(&q->dftp_input, true);
dft_plan_set_norm(&q->dftp_input, true);
dft_plan_set_dc(&q->dftp_input, true);
q->fft_size = fft_size;

@ -214,7 +214,7 @@ int sync_sss(sync_t *q, cf_t *input, uint32_t peak_pos) {
return LIBLTE_ERROR;
}
sss_synch_m0m1(&q->sss, &input[sss_idx], &q->m0, &q->m0_value, &q->m1, &q->m1_value);
sss_synch_m0m1_diff(&q->sss, &input[sss_idx], &q->m0, &q->m0_value, &q->m1, &q->m1_value);
q->sf_idx = sss_synch_subframe(q->m0, q->m1);
ret = sss_synch_N_id_1(&q->sss, q->m0, q->m1);
@ -315,8 +315,9 @@ int sync_find(sync_t *q, cf_t *input, uint32_t find_offset, uint32_t *peak_posit
ret = 0;
}
INFO("SYNC ret=%d N_id_2=%d pos=%d peak=%.2f/%.2f=%.2f mean_energy=%.2f threshold=%.2f sf_idx=%d, CFO=%.3f KHz\n",
ret, q->N_id_2, peak_pos, peak_unnormalized*1000,energy*1000,q->peak_value, q->mean_energy*1000,
INFO("SYNC ret=%d N_id_2=%d pos=%d peak=%.2f/%.2f=%.2f mean_energy=%.2f"
"threshold=%.2f sf_idx=%d, CFO=%.3f KHz\n",
ret, q->N_id_2, peak_pos, peak_unnormalized*1000,energy*1000,q->peak_value, q->mean_energy*1000,
q->threshold, q->sf_idx, 15*q->cfo);
} else if (lte_N_id_2_isvalid(q->N_id_2)) {
@ -328,4 +329,5 @@ int sync_find(sync_t *q, cf_t *input, uint32_t find_offset, uint32_t *peak_posit
void sync_reset(sync_t *q) {
q->frame_cnt = 0;
pss_synch_reset(&q->pss);
}

@ -24,12 +24,21 @@
########################################################################
LIST(FIND OPTIONAL_LIBS cuhd CUHD_FIND)
IF(${CUHD_FIND} GREATER -1)
LIST(FIND OPTIONAL_LIBS graphics GRAPHICS_FIND)
IF(${CUHD_FIND} GREATER -1)
ADD_EXECUTABLE(pss_usrp pss_usrp.c)
TARGET_LINK_LIBRARIES(pss_usrp lte_phy cuhd)
ENDIF(${CUHD_FIND} GREATER -1)
IF(${GRAPHICS_FIND} EQUAL -1)
SET_TARGET_PROPERTIES(pss_usrp PROPERTIES COMPILE_DEFINITIONS "DISABLE_GRAPHICS")
ELSE(${GRAPHICS_FIND} EQUAL -1)
target_link_libraries(pss_usrp graphics)
ENDIF(${GRAPHICS_FIND} EQUAL -1)
BuildMex(MEXNAME pss SOURCES pss_mex.c LIBRARIES lte_phy liblte_mex)
BuildMex(MEXNAME sss SOURCES sss_mex.c LIBRARIES lte_phy liblte_mex)
########################################################################
# SYNC TEST

@ -38,7 +38,6 @@ void help()
void mexFunction(int nlhs, mxArray *plhs[], int nrhs, const mxArray *prhs[])
{
int i;
lte_cell_t cell;
pss_synch_t pss;
cf_t *input_symbols;

@ -38,7 +38,16 @@
#include "liblte/phy/phy.h"
#include "liblte/cuhd/cuhd.h"
uint32_t N_id_2 = 100;
#ifndef DISABLE_GRAPHICS
void init_plots();
void do_plots(float *corr, float energy, uint32_t size, cf_t ce[PSS_LEN]);
void do_plots_sss(float *corr_m0, float *corr_m1);
#endif
bool disable_plots = false;
int cell_id = -1;
char *uhd_args="";
float uhd_gain=40.0, uhd_freq=-1.0;
int nof_frames = -1;
@ -46,18 +55,23 @@ uint32_t fft_size=64;
float threshold = 0.4;
void usage(char *prog) {
printf("Usage: %s [agtvnp] -f rx_frequency_hz -i N_id_2\n", prog);
printf("Usage: %s [adgtvnp] -f rx_frequency_hz -i cell_id\n", prog);
printf("\t-a UHD args [Default %s]\n", uhd_args);
printf("\t-g UHD Gain [Default %.2f dB]\n", uhd_gain);
printf("\t-n nof_frames [Default %d]\n", nof_frames);
printf("\t-s symbol_sz [Default %d]\n", fft_size);
printf("\t-t threshold [Default %.2f]\n", threshold);
#ifndef DISABLE_GRAPHICS
printf("\t-d disable plots [Default enabled]\n");
#else
printf("\t plots are disabled. Graphics library not available\n");
#endif
printf("\t-v verbose\n");
}
void parse_args(int argc, char **argv) {
int opt;
while ((opt = getopt(argc, argv, "agtvsfi")) != -1) {
while ((opt = getopt(argc, argv, "adgtvsfi")) != -1) {
switch (opt) {
case 'a':
uhd_args = argv[optind];
@ -72,7 +86,7 @@ void parse_args(int argc, char **argv) {
threshold = atof(argv[optind]);
break;
case 'i':
N_id_2 = atoi(argv[optind]);
cell_id = atoi(argv[optind]);
break;
case 's':
fft_size = atoi(argv[optind]);
@ -80,6 +94,9 @@ void parse_args(int argc, char **argv) {
case 'n':
nof_frames = atoi(argv[optind]);
break;
case 'd':
disable_plots = true;
break;
case 'v':
verbose++;
break;
@ -88,28 +105,38 @@ void parse_args(int argc, char **argv) {
exit(-1);
}
}
if (N_id_2 > 2 || uhd_freq < 0) {
if (cell_id < 0 || uhd_freq < 0) {
usage(argv[0]);
exit(-1);
}
}
float m0_value, m1_value;
int main(int argc, char **argv) {
cf_t *buffer;
int frame_cnt, n;
void *uhd;
pss_synch_t pss;
cfo_t cfocorr;
sss_synch_t sss;
int32_t flen;
int peak_idx, last_peak;
float peak_value;
float mean_peak;
uint32_t nof_det, nof_nodet, nof_nopeak, nof_nopeakdet;
cf_t ce[PSS_LEN];
parse_args(argc, argv);
uint32_t N_id_2 = cell_id%3;
uint32_t N_id_1 = cell_id/3;
if (!disable_plots)
init_plots();
flen = 4800*(fft_size/64);
buffer = malloc(sizeof(cf_t) * flen);
buffer = malloc(sizeof(cf_t) * flen * 2);
if (!buffer) {
perror("malloc");
exit(-1);
@ -124,11 +151,21 @@ int main(int argc, char **argv) {
exit(-1);
}
cfo_init(&cfocorr, flen);
if (sss_synch_init(&sss, fft_size)) {
fprintf(stderr, "Error initializing SSS object\n");
return LIBLTE_ERROR;
}
sss_synch_set_N_id_2(&sss, N_id_2);
printf("Opening UHD device...\n");
if (cuhd_open(uhd_args, &uhd)) {
fprintf(stderr, "Error opening uhd\n");
exit(-1);
}
printf("N_id_2: %d\n", N_id_2);
printf("Set RX rate: %.2f MHz\n", cuhd_set_rx_srate(uhd, flen*2*100) / 1000000);
printf("Set RX gain: %.1f dB\n", cuhd_set_rx_gain(uhd, uhd_gain));
printf("Set RX freq: %.2f MHz\n", cuhd_set_rx_freq(uhd, uhd_freq) / 1000000);
@ -142,8 +179,14 @@ int main(int argc, char **argv) {
frame_cnt = 0;
last_peak = 0;
mean_peak = 0;
int peak_offset = 0;
float cfo;
float mean_cfo = 0;
uint32_t m0, m1;
uint32_t sss_error1 = 0, sss_error2 = 0, sss_error3 = 0;
while(frame_cnt < nof_frames || nof_frames == -1) {
n = cuhd_recv(uhd, buffer, flen, 1);
n = cuhd_recv(uhd, buffer, flen - peak_offset, 1);
if (n < 0) {
fprintf(stderr, "Error receiving samples\n");
exit(-1);
@ -155,28 +198,59 @@ int main(int argc, char **argv) {
exit(-1);
}
float y = sqrtf(crealf(vec_dot_prod_conj_ccc(&buffer[peak_idx-fft_size],
&buffer[peak_idx-fft_size],
fft_size)) /
fft_size);
float x = peak_value/y;
mean_peak = VEC_CMA(x, mean_peak, frame_cnt);
mean_peak = VEC_CMA(peak_value, mean_peak, frame_cnt);
if (x >= threshold) {
if (peak_value >= threshold) {
nof_det++;
if (peak_idx >= fft_size) {
// Estimate CFO
cfo = pss_synch_cfo_compute(&pss, &buffer[peak_idx-fft_size]);
mean_cfo = VEC_CMA(cfo, mean_cfo, frame_cnt);
// Correct CFO
cfo_correct(&cfocorr, buffer, buffer, -mean_cfo / fft_size);
// Estimate channel
if (pss_synch_chest(&pss, &buffer[peak_idx-fft_size], ce)) {
fprintf(stderr, "Error computing channel estimation\n");
exit(-1);
}
// Find SSS
int sss_idx = peak_idx-flen/10+SLOT_IDX_CPNORM(5,fft_size);
if (sss_idx >= 0 && sss_idx < flen-fft_size) {
sss_synch_m0m1_diff(&sss, &buffer[sss_idx], &m0, &m0_value, &m1, &m1_value);
if (sss_synch_N_id_1(&sss, m0, m1) != N_id_1) {
sss_error3++;
}
sss_synch_m0m1_partial(&sss, &buffer[sss_idx], 3, NULL, &m0, &m0_value, &m1, &m1_value);
if (sss_synch_N_id_1(&sss, m0, m1) != N_id_1) {
sss_error2++;
}
sss_synch_m0m1_partial(&sss, &buffer[sss_idx], 1, NULL, &m0, &m0_value, &m1, &m1_value);
if (sss_synch_N_id_1(&sss, m0, m1) != N_id_1) {
sss_error1++;
}
}
} else {
INFO("No space for CFO computation. Frame starts at \n",peak_idx);
}
if (!disable_plots && sss_synch_subframe(m0,m1) == 0)
do_plots_sss(sss.corr_output_m0, sss.corr_output_m1);
} else {
nof_nodet++;
}
if (frame_cnt > 100) {
if (abs(last_peak-peak_idx) > 10) {
if (x >= threshold) {
if (peak_value >= threshold) {
nof_nopeakdet++;
} else {
if (nof_nodet > 0) {
nof_nodet--;
}
}
nof_nopeak++;
}
@ -184,16 +258,23 @@ int main(int argc, char **argv) {
frame_cnt++;
printf("[%5d]: Pos: %5d, En: %.4f Val: %.3f MeanVal: %.3f, Det: %.3f, No-Det: %.3f, NoPeak: %.3f, NoPeakDet: %.3f\r",
printf("[%5d]: Pos: %5d, PSR: %6.3f MeanPSR: %6.3f, Pdet: %6.3f, Pmiss: %.3f, "
"FP: %d, FPThres: %d, CFO: %+4.1f KHz SSSmiss: %.3f/%.3f/%.3f\r",
frame_cnt,
peak_idx, y, x, mean_peak,
peak_idx,
peak_value, mean_peak,
(float) nof_det/frame_cnt, (float) nof_nodet/frame_cnt,
(float) nof_nopeak/frame_cnt, (float) nof_nopeakdet/nof_nopeak);
nof_nopeak, nof_nopeakdet, mean_cfo*15,
(float) sss_error1/nof_det,(float) sss_error2/nof_det,(float) sss_error3/nof_det
);
if (VERBOSE_ISINFO()) {
printf("\n");
}
if (!disable_plots)
do_plots(pss.conv_output_avg, pss.conv_output_avg[peak_idx], pss.fft_size+pss.frame_size-1, ce);
last_peak = peak_idx;
}
@ -206,3 +287,75 @@ int main(int argc, char **argv) {
exit(0);
}
extern cf_t *tmp2;
/**********************************************************************
* Plotting Functions
***********************************************************************/
#ifndef DISABLE_GRAPHICS
#include "liblte/graphics/plot.h"
plot_real_t pssout;
//plot_complex_t pce;
plot_real_t psss1;//, psss2;
float tmp[100000];
cf_t tmpce[PSS_LEN];
void init_plots() {
plot_init();
plot_real_init(&pssout);
plot_real_setTitle(&pssout, "PSS xCorr");
plot_real_setLabels(&pssout, "Index", "Absolute value");
plot_real_setYAxisScale(&pssout, 0, 1);
/*
plot_complex_init(&pce);
plot_complex_setTitle(&pce, "Channel Estimates");
plot_complex_setYAxisScale(&pce, Ip, -2, 2);
plot_complex_setYAxisScale(&pce, Q, -2, 2);
plot_complex_setYAxisScale(&pce, Magnitude, 0, 2);
plot_complex_setYAxisScale(&pce, Phase, -M_PI, M_PI);
*/
plot_real_init(&psss1);
plot_real_setTitle(&psss1, "SSS xCorr m0");
plot_real_setLabels(&psss1, "Index", "Absolute value");
plot_real_setYAxisScale(&psss1, 0, 1);
/*
plot_real_init(&psss2);
plot_real_setTitle(&psss2, "SSS xCorr m1");
plot_real_setLabels(&psss2, "Index", "Absolute value");
plot_real_setYAxisScale(&psss2, 0, 1);
*/
}
void do_plots(float *corr, float energy, uint32_t size, cf_t ce[PSS_LEN]) {
vec_sc_prod_fff(corr,1./energy,tmp, size);
plot_real_setNewData(&pssout, tmp, size);
// float norm = vec_avg_power_cf(ce, PSS_LEN);
// vec_sc_prod_cfc(ce, 1.0/sqrt(norm), tmpce, PSS_LEN);
//plot_complex_setNewData(&pce, tmpce, PSS_LEN);
}
void do_plots_sss(float *corr_m0, float *corr_m1) {
if (m0_value > 0)
vec_sc_prod_fff(corr_m0,1./m0_value,corr_m0, N_SSS);
plot_real_setNewData(&psss1, corr_m0, N_SSS);
// if (m1_value > 0)
// vec_sc_prod_fff(corr_m1,1./m1_value,corr_m1, N_SSS);
// plot_real_setNewData(&psss2, corr_m1, N_SSS);
}
#endif

@ -0,0 +1,119 @@
/*
* Copyright (c) 2012, Ismael Gomez-Miguelez <ismael.gomez@tsc.upc.edu>.
* This file is part of ALOE++ (http://flexnets.upc.edu/)
*
* ALOE++ is free software: you can redistribute it and/or modify
* it under the terms of the GNU Lesser General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* ALOE++ is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU Lesser General Public License for more details.
*
* You should have received a copy of the GNU Lesser General Public License
* along with ALOE++. If not, see <http://www.gnu.org/licenses/>.
*/
#include <string.h>
#include "liblte/phy/phy.h"
#include "liblte/mex/mexutils.h"
/** MEX function to be called from MATLAB to test the channel estimator
*/
#define ENBCFG prhs[0]
#define INPUT prhs[1]
#define ALGO prhs[2]
#define NOF_INPUTS 2
void help()
{
mexErrMsgTxt
("[N_id_1,sf_idx,corr_output_m0,corr_output_m1] = liblte_sss(enbConfig, inputSignal, [Algorithm])\n"
"\tinputSignal must be aligned to the subframe. CP length is assumed Normal.\n"
"\tAlgorithm is an optional parameter: Can be 'partial','diff','full'\n\n");
}
/* the gateway function */
void mexFunction(int nlhs, mxArray *plhs[], int nrhs, const mxArray *prhs[])
{
lte_cell_t cell;
sss_synch_t sss;
cf_t *input_symbols;
int frame_len;
uint32_t m0, m1;
float m0_value, m1_value;
char alg[64];
if (nrhs < NOF_INPUTS) {
help();
return;
}
if (mexutils_read_cell(ENBCFG, &cell)) {
help();
return;
}
if (nrhs > NOF_INPUTS) {
mxGetString(ALGO, alg, (mwSize)sizeof(alg));
} else {
strcpy(alg, "full");
}
/** Allocate input buffers */
frame_len = mexutils_read_cf(INPUT, &input_symbols);
if (frame_len < 0) {
mexErrMsgTxt("Error reading input symbols\n");
return;
}
if (sss_synch_init(&sss, lte_symbol_sz(cell.nof_prb))) {
mexErrMsgTxt("Error initializing SSS object\n");
return;
}
sss_synch_set_N_id_2(&sss, cell.id%3);
// Find SSS
uint32_t sss_idx = SLOT_IDX_CPNORM(5,lte_symbol_sz(cell.nof_prb));
if (sss_idx > frame_len) {
mexErrMsgTxt("Error too few samples provided.\n");
return;
}
//mexPrintf("SSS begins at %d/%d. Running algorithm %s\n", sss_idx, frame_len, alg);
if (!strcmp(alg, "partial")) {
sss_synch_m0m1_partial(&sss, &input_symbols[sss_idx], 3, NULL, &m0, &m0_value, &m1, &m1_value);
} else if (!strcmp(alg, "diff")) {
sss_synch_m0m1_diff(&sss, &input_symbols[sss_idx], &m0, &m0_value, &m1, &m1_value);
} else if (!strcmp(alg, "full")) {
sss_synch_m0m1_partial(&sss, &input_symbols[sss_idx], 1, NULL, &m0, &m0_value, &m1, &m1_value);
} else {
mexErrMsgTxt("Unsupported algorithm type\n");
return;
}
//mexPrintf("m0: %d, m1: %d, N_id_1: %d\n", m0, m1, sss_synch_N_id_1(&sss, m0, m1));
if (nlhs >= 1) {
plhs[0] = mxCreateDoubleScalar(sss_synch_N_id_1(&sss, m0, m1));
}
if (nlhs >= 2) {
plhs[1] = mxCreateDoubleScalar(sss_synch_subframe(m0, m1));
}
if (nlhs >= 3) {
mexutils_write_f(sss.corr_output_m0, &plhs[2], N_SSS, 1);
}
if (nlhs >= 4) {
mexutils_write_f(sss.corr_output_m1, &plhs[3], N_SSS, 1);
}
sss_synch_free(&sss);
free(input_symbols);
return;
}

@ -0,0 +1,111 @@
function [ s, c0, c1 ] = get_sc( N_id_2 )
if (N_id_2 == 0)
s(1,:)=[1, 1, 1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, -1, 1, -1, 1, -1, ];
s(2,:)=[1, 1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, -1, 1, -1, 1, -1, 1, ];
s(3,:)=[1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, -1, 1, -1, 1, -1, 1, 1, ];
s(4,:)=[1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, ];
s(5,:)=[-1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, ];
s(6,:)=[1, 1, -1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, -1, ];
s(7,:)=[1, -1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, -1, 1, ];
s(8,:)=[-1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, -1, 1, 1, ];
s(9,:)=[1, -1, -1, 1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, -1, 1, 1, -1, ];
s(10,:)=[-1, -1, 1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, -1, 1, 1, -1, 1, ];
s(11,:)=[-1, 1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, -1, 1, 1, -1, 1, -1, ];
s(12,:)=[1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, -1, 1, 1, -1, 1, -1, -1, ];
s(13,:)=[1, -1, -1, -1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, -1, 1, 1, -1, 1, -1, -1, 1, ];
s(14,:)=[-1, -1, -1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, ];
s(15,:)=[-1, -1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, ];
s(16,:)=[-1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, ];
s(17,:)=[-1, -1, 1, 1, 1, -1, -1, 1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, -1, ];
s(18,:)=[-1, 1, 1, 1, -1, -1, 1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, -1, -1, ];
s(19,:)=[1, 1, 1, -1, -1, 1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1, ];
s(20,:)=[1, 1, -1, -1, 1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1, 1, ];
s(21,:)=[1, -1, -1, 1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1, 1, 1, ];
s(22,:)=[-1, -1, 1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1, 1, 1, 1, ];
s(23,:)=[-1, 1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, ];
s(24,:)=[1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, -1, ];
s(25,:)=[-1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, -1, 1, ];
s(26,:)=[-1, -1, 1, -1, 1, -1, 1, 1, 1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, -1, 1, -1, ];
s(27,:)=[-1, 1, -1, 1, -1, 1, 1, 1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, ];
s(28,:)=[1, -1, 1, -1, 1, 1, 1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, -1, ];
s(29,:)=[-1, 1, -1, 1, 1, 1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, -1, 1, ];
s(30,:)=[1, -1, 1, 1, 1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, -1, 1, -1, ];
s(31,:)=[-1, 1, 1, 1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, -1, 1, -1, 1, ];
c0=[1, 1, 1, 1, -1, 1, -1, 1, -1, -1, -1, 1, -1, -1, 1, 1, 1, -1, -1, -1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, -1, ];
c1=[1, -1, 1, -1, 1, -1, -1, -1, 1, -1, -1, 1, 1, 1, -1, -1, -1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, -1, 1, 1, 1, ];
elseif (N_id_2 == 1)
s(1,:)=[1, 1, 1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, -1, 1, -1, 1, -1, ];
s(2,:)=[1, 1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, -1, 1, -1, 1, -1, 1, ];
s(3,:)=[1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, -1, 1, -1, 1, -1, 1, 1, ];
s(4,:)=[1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, ];
s(5,:)=[-1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, ];
s(6,:)=[1, 1, -1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, -1, ];
s(7,:)=[1, -1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, -1, 1, ];
s(8,:)=[-1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, -1, 1, 1, ];
s(9,:)=[1, -1, -1, 1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, -1, 1, 1, -1, ];
s(10,:)=[-1, -1, 1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, -1, 1, 1, -1, 1, ];
s(11,:)=[-1, 1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, -1, 1, 1, -1, 1, -1, ];
s(12,:)=[1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, -1, 1, 1, -1, 1, -1, -1, ];
s(13,:)=[1, -1, -1, -1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, -1, 1, 1, -1, 1, -1, -1, 1, ];
s(14,:)=[-1, -1, -1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, ];
s(15,:)=[-1, -1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, ];
s(16,:)=[-1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, ];
s(17,:)=[-1, -1, 1, 1, 1, -1, -1, 1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, -1, ];
s(18,:)=[-1, 1, 1, 1, -1, -1, 1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, -1, -1, ];
s(19,:)=[1, 1, 1, -1, -1, 1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1, ];
s(20,:)=[1, 1, -1, -1, 1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1, 1, ];
s(21,:)=[1, -1, -1, 1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1, 1, 1, ];
s(22,:)=[-1, -1, 1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1, 1, 1, 1, ];
s(23,:)=[-1, 1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, ];
s(24,:)=[1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, -1, ];
s(25,:)=[-1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, -1, 1, ];
s(26,:)=[-1, -1, 1, -1, 1, -1, 1, 1, 1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, -1, 1, -1, ];
s(27,:)=[-1, 1, -1, 1, -1, 1, 1, 1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, ];
s(28,:)=[1, -1, 1, -1, 1, 1, 1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, -1, ];
s(29,:)=[-1, 1, -1, 1, 1, 1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, -1, 1, ];
s(30,:)=[1, -1, 1, 1, 1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, -1, 1, -1, ];
s(31,:)=[-1, 1, 1, 1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, -1, 1, -1, 1, ];
c0=[1, 1, 1, -1, 1, -1, 1, -1, -1, -1, 1, -1, -1, 1, 1, 1, -1, -1, -1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, -1, 1, ];
c1=[-1, 1, -1, 1, -1, -1, -1, 1, -1, -1, 1, 1, 1, -1, -1, -1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, -1, 1, 1, 1, 1, ];
else
s(1,:)=[1, 1, 1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, -1, 1, -1, 1, -1, ];
s(2,:)=[1, 1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, -1, 1, -1, 1, -1, 1, ];
s(3,:)=[1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, -1, 1, -1, 1, -1, 1, 1, ];
s(4,:)=[1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, ];
s(5,:)=[-1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, ];
s(6,:)=[1, 1, -1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, -1, ];
s(7,:)=[1, -1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, -1, 1, ];
s(8,:)=[-1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, -1, 1, 1, ];
s(9,:)=[1, -1, -1, 1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, -1, 1, 1, -1, ];
s(10,:)=[-1, -1, 1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, -1, 1, 1, -1, 1, ];
s(11,:)=[-1, 1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, -1, 1, 1, -1, 1, -1, ];
s(12,:)=[1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, -1, 1, 1, -1, 1, -1, -1, ];
s(13,:)=[1, -1, -1, -1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, -1, 1, 1, -1, 1, -1, -1, 1, ];
s(14,:)=[-1, -1, -1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, ];
s(15,:)=[-1, -1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, ];
s(16,:)=[-1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, ];
s(17,:)=[-1, -1, 1, 1, 1, -1, -1, 1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, -1, ];
s(18,:)=[-1, 1, 1, 1, -1, -1, 1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, -1, -1, ];
s(19,:)=[1, 1, 1, -1, -1, 1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1, ];
s(20,:)=[1, 1, -1, -1, 1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1, 1, ];
s(21,:)=[1, -1, -1, 1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1, 1, 1, ];
s(22,:)=[-1, -1, 1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1, 1, 1, 1, ];
s(23,:)=[-1, 1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, ];
s(24,:)=[1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, -1, ];
s(25,:)=[-1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, -1, 1, ];
s(26,:)=[-1, -1, 1, -1, 1, -1, 1, 1, 1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, -1, 1, -1, ];
s(27,:)=[-1, 1, -1, 1, -1, 1, 1, 1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, ];
s(28,:)=[1, -1, 1, -1, 1, 1, 1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, -1, ];
s(29,:)=[-1, 1, -1, 1, 1, 1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, -1, 1, ];
s(30,:)=[1, -1, 1, 1, 1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, -1, 1, -1, ];
s(31,:)=[-1, 1, 1, 1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, -1, 1, -1, 1, ];
c0=[1, 1, -1, 1, -1, 1, -1, -1, -1, 1, -1, -1, 1, 1, 1, -1, -1, -1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, -1, 1, 1, ];
c1=[1, -1, 1, -1, -1, -1, 1, -1, -1, 1, 1, 1, -1, -1, -1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, -1, 1, 1, 1, 1, -1, ];
end
end

@ -0,0 +1,143 @@
SNR_values = linspace(-6,4,10);
Npackets = 200;
CFO=4/15;
m0=7;
m1=10;
%m0=26;
%m1=21;
recordedWaveform = signal;
if (~isempty(recordedWaveform))
Npackets = floor(length(signal)/19200)-1;
SNR_values = 0;
end
error = zeros(6,length(SNR_values));
enb = struct('NCellID',196,'NSubframe',0,'NDLRB',6,'CellRefP',1,'CyclicPrefix','Normal','DuplexMode','FDD');
sss=lteSSS(enb);
cfg.Seed = 2; % Random channel seed
cfg.NRxAnts = 1; % 1 receive antenna
cfg.DelayProfile = 'ETU'; % EVA delay spread
cfg.DopplerFreq = 144; % 120Hz Doppler frequency
cfg.MIMOCorrelation = 'Low'; % Low (no) MIMO correlation
cfg.NTerms = 16; % Oscillators used in fading model
cfg.ModelType = 'GMEDS'; % Rayleigh fading model type
cfg.InitPhase = 'Random'; % Random initial phases
cfg.NormalizePathGains = 'On'; % Normalize delay profile power
cfg.NormalizeTxAnts = 'On'; % Normalize for transmit antennas % Initialize at time zero
[s, c0, c1] = get_sc(mod(enb.NCellID,3));
subframe = lteDLResourceGrid(enb);
sssSym = lteSSS(enb);
sssInd = lteSSSIndices(enb);
subframe(sssInd) = sssSym;
N_id_1 = floor(enb.NCellID/3);
[txWaveform,info] = lteOFDMModulate(enb,subframe);
cfg.SamplingRate = info.SamplingRate;
fftSize = info.Nfft;
addpath('../../debug/lte/phy/lib/sync/test')
for snr_idx=1:length(SNR_values)
SNRdB = SNR_values(snr_idx);
for i=1:Npackets
%% Noise Addition
SNR = 10^(SNRdB/10); % Linear SNR
if (isempty(recordedWaveform))
cfg.InitTime = i*(10^-3);
[rxWaveform, info]= lteFadingChannel(cfg,txWaveform);
rxWaveform = txWaveform;
% Add CFO
freq = CFO/double(fftSize);
rxWaveform = rxWaveform.*exp(1i*2*pi*freq*(1:length(txWaveform))');
N0 = 1/(sqrt(2.0*enb.CellRefP*double(fftSize))*SNR);
noise = N0*complex(randn(size(rxWaveform)), randn(size(rxWaveform))); % Generate noise
rxWaveform = rxWaveform + noise;
else
rxWaveform = recordedWaveform(i*19200+1:(i+1)*19200);
end
offset = lteDLFrameOffset(enb,rxWaveform);
rxWaveform = [rxWaveform(1+offset:end,:); zeros(offset,1)];
subframe_rx = lteOFDMDemodulate(enb,rxWaveform,1);
sss_rx = subframe_rx(lteSSSIndices(enb));
sss0=sss_rx(1:2:end);
sss1=sss_rx(2:2:end);
beta0=sss0.*c0';
beta1=sss1.*c1';
corr0=zeros(31,1);
for m=1:31
corr0(m)=sum(beta0.*s(m,:)');
end
corr0=abs(corr0).^2;
[m, idx]=max(corr0);
error(1,snr_idx) = error(1,snr_idx) + ((idx ~= m0 && idx ~= m1));
M=2;
Nm=10;
corr2=zeros(31,1);
for m=1:31
for j=0:M
idx=1+j*Nm:(j+1)*Nm;
corr2(m)=corr2(m)+abs(sum(beta0(idx).*s(m,idx)')).^2;
end
end
[m, idx]=max(corr2);
error(2,snr_idx) = error(2,snr_idx) + ((idx ~= m0 && idx ~= m1));
corr3=zeros(31,1);
for m=1:31
corr3(m)=abs(sum(beta0(2:end).*conj(beta0(1:end-1)).*transpose(s(m,2:end).*conj(s(m,1:end-1))))).^2;
end
[m, idx]=max(corr3);
error(3,snr_idx) = error(3,snr_idx) + ((idx ~= m0 && idx ~= m1));
% libLTE results
[n,sf_idx,lt_corr0,lt_corr1,lt_sss0,lt_sss1]=liblte_sss(enb,rxWaveform,'full');
[m, idx]=max(lt_corr0);
error(4,snr_idx) = error(4,snr_idx) + ((idx ~= m0 && idx ~= m1));
[n,sf_idx,lt_corr2]=liblte_sss(enb,rxWaveform,'partial');
[m, idx]=max(lt_corr2);
error(5,snr_idx) = error(5,snr_idx) + ((idx ~= m0 && idx ~= m1));
[n,sf_idx,lt_corr3]=liblte_sss(enb,rxWaveform,'diff');
[m, idx]=max(lt_corr3);
error(6,snr_idx) = error(6,snr_idx) + ((idx ~= m0 && idx ~= m1));
end
end
if (length(SNR_values) > 1)
plot(SNR_values,1-error/Npackets)
legend('Full','Partial','Differential','Full-lt','Partial-lt','Differential-lt')
grid on
else
e=error/Npackets;
fprintf('Full (mt/lt): \t%f/%f\n',e(1),e(4));
fprintf('Partial (mt/lt):%f/%f\n',e(2),e(5));
fprintf('Diff (mt/lt): \t%f/%f\n',e(3),e(6));
end
Loading…
Cancel
Save