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@ -50,7 +50,6 @@
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* \param S Soft demapping auxiliary matrix
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* \param sigma2 Noise vatiance
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*/
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/* Note: Optimized implementation of approximate LLR algorithm, July 2014*/
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void llr_approx(const _Complex float *in, float *out, int N, int M, int B,
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_Complex float *symbols, uint32_t (*S)[6][32], float sigma2) {
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int i, s, b;
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@ -59,7 +58,7 @@ void llr_approx(const _Complex float *in, float *out, int N, int M, int B,
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float x, y, d[64];
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for (s=0; s<N; s++) { /* recevied symbols */
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/* Compute exp{·} of the distances between received symbol and all constallation symbols */
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/* Compute the distances squared d[i] between the received symbol and all constellation points */
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for (i=0; i<M; i++) {
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x = __real__ in[s] - __real__ symbols[i];
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y = __imag__ in[s] - __imag__ symbols[i];
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@ -71,8 +70,9 @@ void llr_approx(const _Complex float *in, float *out, int N, int M, int B,
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num = d[S[0][b][0]];
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den = d[S[1][b][0]];
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/* half the constellation symbols have '1'|'0' at any bit pos. */
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for (i=1; i<M/2; i++) {
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/* Minimum distance squared search between recevied symbol and a constellation point with a
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'1' and a '0' for each bit position */
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for (i=1; i<M/2; i++) { /* half the constellation points have '1'|'0' at any given bit position */
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if (d[S[0][b][i]] < num) {
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num = d[S[0][b][i]];
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}
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@ -106,7 +106,6 @@ void llr_approx(const _Complex float *in, float *out, int N, int M, int B,
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* \param S Soft demapping auxiliary matrix
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* \param sigma2 Noise vatiance
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*/
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/* Note: Optimized implementation of exact LLR algorithm, July 2014*/
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void llr_exact(const _Complex float *in, float *out, int N, int M, int B,
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_Complex float *symbols, uint32_t (*S)[6][32], float sigma2) {
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int i, s, b;
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@ -115,19 +114,20 @@ void llr_exact(const _Complex float *in, float *out, int N, int M, int B,
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float x, y, d[64];
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for (s=0; s<N; s++) { /* recevied symbols */
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/* Compute exp{·} of the distances between received symbol and all constallation symbols */
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/* Compute exp{·} of the distances squared d[i] between the received symbol and all constellation points */
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for (i=0; i<M; i++) {
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x = __real__ in[s] - __real__ symbols[i];
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y = __imag__ in[s] - __imag__ symbols[i];
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d[i] = exp(-1*(x*x + y*y)/sigma2);
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}
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/* Sum up the corresponding d[i]'s for each bit position */
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for (b=0; b<B; b++) {/* bits per symbol*/
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/* initiate num[b] and den[b] */
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num = 0;
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den = 0;
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/* half the constellation symbols have '1'|'0' at any bit pos. */
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for (i=0; i<M/2; i++) {
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for (i=0; i<M/2; i++) { /* half the constellation points have '1'|'0' at any given bit position */
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num += d[S[0][b][i]];
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den += d[S[1][b][i]];
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}
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