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Tested sync candidate search

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This commit is contained in:
Karlis Goba 2018-11-13 13:04:36 +02:00
parent 8397509c85
commit b1a1d1edc6
2 changed files with 111 additions and 63 deletions
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1
.gitignore vendored
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@ -1,2 +1,3 @@
*.o
gen_ft8
decode_ft8

173
decode_ft8.cpp
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@ -28,28 +28,71 @@ struct Candidate {
int16_t score;
uint16_t time_offset;
uint16_t freq_offset;
uint8_t time_alt;
uint8_t freq_alt;
uint8_t time_sub;
uint8_t freq_sub;
};
void find_candidates(int num_blocks, int num_bins, const uint8_t * power,
int num_candidates, Candidate heap[num_candidates]) {
void heapify_down(Candidate * heap, int heap_size) {
// heapify from the root down
int current = 0;
while (true) {
int largest = current;
int left = 2 * current + 1;
int right = left + 1;
if (left < heap_size && heap[left].score < heap[largest].score) {
largest = left;
}
if (right < heap_size && heap[right].score < heap[largest].score) {
largest = right;
}
if (largest == current) {
break;
}
Candidate tmp = heap[largest];
heap[largest] = heap[current];
heap[current] = tmp;
current = largest;
}
}
void heapify_up(Candidate * heap, int heap_size) {
// heapify from the last node up
int current = heap_size - 1;
while (current > 0) {
int parent = (current - 1) / 2;
if (heap[current].score >= heap[parent].score) {
break;
}
Candidate tmp = heap[parent];
heap[parent] = heap[current];
heap[current] = tmp;
current = parent;
}
}
// Find top N candidates in frequency and time according to their sync strength (looking at Costas symbols)
void find_sync(const uint8_t * power, int num_blocks, int num_bins, int num_candidates, Candidate * heap) {
// Costas 7x7 tone pattern
const uint8_t ICOS7[] = { 2,5,6,0,4,1,3 };
int heap_size = 0;
for (int alt = 0; alt < 4; ++alt) {
for (int i = 0; i < num_blocks - NN; ++i) {
for (int j = 0; j < num_bins - 8; ++j) {
for (int time_offset = 0; time_offset < num_blocks - NN; ++time_offset) {
for (int freq_offset = 0; freq_offset < num_bins - 8; ++freq_offset) {
int score = 0;
// Compute score over bins 0-7, 36-43, 72-79
for (int m = 0; m <= 72; m += 36) {
for (int k = 0; k < 7; ++k) {
int offset = ((i + k + m) * 4 + alt) * num_bins + j;
// score += 8 * (int)power[i + k + m][alt][j + ICOS7[k]] -
int offset = ((time_offset + k + m) * 4 + alt) * num_bins + freq_offset;
// score += 8 * (int)power[time_offset + k + m][alt][freq_offset + ICOS7[k]] -
score += 8 * (int)power[offset + ICOS7[k]] -
power[offset + 0] - power[offset + 1] -
power[offset + 2] - power[offset + 3] -
@ -60,56 +103,23 @@ void find_candidates(int num_blocks, int num_bins, const uint8_t * power,
// update the candidate list
if (heap_size == num_candidates && score > heap[0].score) {
//printf("Removing score %d\n", heap[0].score);
// extract the least promising candidate
heap[0] = heap[heap_size - 1];
--heap_size;
// heapify from the root down
int current = 0;
while (true) {
int largest = current;
int left = 2 * current + 1;
int right = left + 1;
if (left < heap_size && heap[left].score < heap[largest].score) {
largest = left;
}
if (right < heap_size && heap[right].score < heap[largest].score) {
largest = right;
}
if (largest == current) {
break;
}
Candidate tmp = heap[largest];
heap[largest] = heap[current];
heap[current] = tmp;
current = largest;
}
heapify_down(heap, heap_size);
}
if (heap_size < num_candidates) {
// add the current candidate
//printf("Adding score %d\n", score);
heap[heap_size].score = score;
heap[heap_size].time_offset = i;
heap[heap_size].freq_offset = j;
heap[heap_size].time_offset = time_offset;
heap[heap_size].freq_offset = freq_offset;
heap[heap_size].time_sub = alt / 2;
heap[heap_size].freq_sub = alt % 2;
++heap_size;
// heapify from the last node up
int current = heap_size - 1;
while (current > 0) {
int parent = (current - 1) / 2;
if (heap[current].score >= heap[parent].score) {
break;
}
Candidate tmp = heap[parent];
heap[parent] = heap[current];
heap[current] = tmp;
current = parent;
}
heapify_up(heap, heap_size);
}
}
}
@ -117,10 +127,10 @@ void find_candidates(int num_blocks, int num_bins, const uint8_t * power,
}
void extract_power(const float *signal, int num_samples, int num_bins, uint8_t * power) {
// Compute FFT magnitudes (log power) for each timeslot in the signal
void extract_power(const float * signal, int num_blocks, int num_bins, uint8_t * power) {
const int block_size = 2 * num_bins; // Average over 2 bins per FSK tone
const int nfft = 2 * block_size; // We take FFT of two blocks, advancing by one
const int num_blocks = (num_samples - (block_size/2) - block_size) / block_size;
float window[nfft];
for (int i = 0; i < nfft; ++i) {
@ -137,31 +147,32 @@ void extract_power(const float *signal, int num_samples, int num_bins, uint8_t *
kiss_fftr_cfg fft_cfg = kiss_fftr_alloc(nfft, 0, fft_work, &fft_work_size);
int offset = 0;
float fft_norm = 1.0f / nfft;
for (int i = 0; i < num_blocks; ++i) {
// Loop over two possible time offsets (0 and block_size/2)
for (int time_offset = 0; time_offset <= block_size/2; time_offset += block_size/2) {
for (int time_sub = 0; time_sub <= block_size/2; time_sub += block_size/2) {
kiss_fft_scalar timedata[nfft];
kiss_fft_cpx freqdata[nfft/2 + 1];
float mag_db[nfft/2 + 1];
// Extract windowed signal block
for (int j = 0; j < nfft; ++j) {
timedata[j] = window[j] * signal[i * block_size + j + time_offset];
timedata[j] = window[j] * signal[(i * block_size) + (j + time_sub)];
}
kiss_fftr(fft_cfg, timedata, freqdata);
// Compute log magnitude in decibels
for (int j = 0; j < nfft/2 + 1; ++j) {
float mag2 = (freqdata[j].i * freqdata[j].i + freqdata[j].r * freqdata[j].r);
mag_db[j] = 10.0f * logf(1.0E-10f + mag2);
float mag2 = fft_norm * (freqdata[j].i * freqdata[j].i + freqdata[j].r * freqdata[j].r);
mag_db[j] = 10.0f * log10f(1.0E-10f + mag2);
}
// Loop over two possible frequency bin offsets (for averaging)
for (int freq_offset = 0; freq_offset <= 1; ++freq_offset) {
for (int freq_sub = 0; freq_sub < 2; ++freq_sub) {
for (int j = 0; j < num_bins; ++j) {
float db1 = mag_db[j * 2 + freq_offset];
float db2 = mag_db[j * 2 + freq_offset + 1];
float db1 = mag_db[j * 2 + freq_sub];
float db2 = mag_db[j * 2 + freq_sub + 1];
float db = (db1 + db2) / 2;
// Scale decibels to unsigned 8-bit range
@ -177,14 +188,14 @@ void extract_power(const float *signal, int num_samples, int num_bins, uint8_t *
}
int main(int argc, char **argv) {
int main(int argc, char ** argv) {
// Expect one command-line argument
if (argc < 2) {
usage();
return -1;
}
const char *wav_path = argv[1];
const char * wav_path = argv[1];
int sample_rate = 12000;
int num_samples = 15 * sample_rate;
@ -195,18 +206,54 @@ int main(int argc, char **argv) {
return -1;
}
const int num_bins = (int)(sample_rate / 2 / 6.25);
const float fsk_dev = 6.25f;
const int num_bins = (int)(sample_rate / (2 * fsk_dev));
const int block_size = 2 * num_bins;
const int num_blocks = (num_samples - (block_size/2) - block_size) / block_size;
uint8_t power[num_blocks * 4 * num_bins]; // [num_blocks][4][num_bins] ~ 200 KB
extract_power(signal, num_samples, num_bins, power);
printf("%d blocks, %d bins\n", num_blocks, num_bins);
const int num_candidates = 200;
extract_power(signal, num_blocks, num_bins, power);
const int num_candidates = 250;
Candidate heap[num_candidates];
find_candidates(num_blocks, num_bins, power, num_candidates, heap);
find_sync(power, num_blocks, num_bins, num_candidates, heap);
for (int i = 0; i < num_candidates; ++i) {
float freq_offset = (heap[i].freq_offset + heap[i].freq_sub / 2.0f) * fsk_dev;
float time_offset = (heap[i].time_offset + heap[i].time_sub / 2.0f) / fsk_dev;
// int offset = (heap[i].time_offset * 4 + heap[i].time_sub * 2 + heap[i].freq_sub) * num_bins + heap[i].freq_offset;
printf("%03d: score = %.1f freq = %.1f time = %.2f\n", i, heap[i].score / 7.0f / 2, freq_offset, time_offset);
}
/*
// take absolute magnitude
s2(0:7,k)=abs(csymb(1:8))/1e3
// skip Costas sync symbols
s1(0:7,j)=s2(0:7,k)
// Normalize by median magnitude
s1=s1/xmeds1
// Extract bit significance
ps=s1(0:7,j)
bmeta(i4)=max(ps(4),ps(5),ps(6),ps(7))-max(ps(0),ps(1),ps(2),ps(3))
bmeta(i2)=max(ps(2),ps(3),ps(6),ps(7))-max(ps(0),ps(1),ps(4),ps(5))
bmeta(i1)=max(ps(1),ps(3),ps(5),ps(7))-max(ps(0),ps(2),ps(4),ps(6))
// Normalize by std. deviation
call normalizebmet(bmeta,3*ND)
// Magical fudge/scale factor
scalefac=2.83
llr0=scalefac*bmeta
*/
return 0;
}