-
Notifications
You must be signed in to change notification settings - Fork 0
Expand file tree
/
Copy pathpccc_final_csv.c
More file actions
335 lines (280 loc) · 12.1 KB
/
pccc_final_csv.c
File metadata and controls
335 lines (280 loc) · 12.1 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
/***************************************************
Channel Coding Course Work: Turbo Codes (Final CSV Version)
功能:
1. PCCC (Turbo Code) 仿真
2. 高性能优化 (OpenMP, 内存优化)
3. 结果自动保存到 turbo_ber.csv
***************************************************/
#include <stdio.h>
#include <stdlib.h>
#include <time.h>
#include <math.h>
#include <string.h>
#include <omp.h> // OpenMP 并行库
// --- 系统参数 ---
#define MSG_LEN 256
#define STATE_NUM 4
#define ITERATIONS 4
#define TAIL_BITS 0
#define MESSAGE_LENGTH (MSG_LEN + TAIL_BITS)
#define CODEWORD_LENGTH (MESSAGE_LENGTH * 3)
float code_rate = 1.0f / 3.0f;
// --- 常量 ---
#define PI 3.141592653589793f
#define INF 1e9f
// --- 全局变量 (只读) ---
int next_state[STATE_NUM][2];
int output_parity[STATE_NUM][2];
int alpha_interleaver[MESSAGE_LENGTH];
// --- RNG (线程安全) ---
typedef struct {
unsigned int x, y, z, w;
} rng_state_t;
void rng_init(rng_state_t *rng, unsigned int seed) {
rng->x = seed; rng->y = 362436069; rng->z = 521288629; rng->w = 88675123;
}
unsigned int rng_next(rng_state_t *rng) {
unsigned int t = rng->x ^ (rng->x << 11);
rng->x = rng->y; rng->y = rng->z; rng->z = rng->w;
return rng->w = rng->w ^ (rng->w >> 19) ^ (t ^ (t >> 8));
}
float rng_float(rng_state_t *rng) {
return (float)rng_next(rng) / (float)0xFFFFFFFF;
}
// --- Max-Star (移到上方并内联,提高速度) ---
static inline float max_star(float a, float b) {
// PCCC 通常使用 Max-Log-MAP (简单取最大值) 即可收敛良好
// 如果需要极致性能,可以像 SCCC 那样加 Log-MAP 修正表,但 PCCC 对此不敏感
return (a > b) ? a : b;
}
// --- 函数原型 ---
void statetable();
void rsc_encoder(int* input_bits, int* parity_out, int len);
// max_star 已在上方定义为 static inline,不需要原型
void siso_decoder(float* L_in_sys, float* L_in_par, float* L_in_apriori, float* L_out_extrinsic, int len, int terminate,
float (*alpha)[STATE_NUM], float (*beta)[STATE_NUM], float (*gamma)[STATE_NUM][2]);
// --- 主函数 ---
int main()
{
float start_snr, finish_snr, current_snr;
long int seq_num;
FILE *fp = NULL; // 文件指针
// 1. 初始化
statetable();
// 2. 打开 CSV 文件
fp = fopen("turbo_ber.csv", "w");
if (fp == NULL) {
printf("Error: Could not open file turbo_ber.csv for writing.\n");
return 1;
}
fprintf(fp, "SNR,BER\n"); // 写入表头
printf("--- Turbo Code Simulation (Multi-Core + CSV Output) ---\n");
printf("Message Length: %d, Codeword Length: %d\n", MESSAGE_LENGTH, CODEWORD_LENGTH);
printf("Detected Processors: %d\n", omp_get_num_procs());
printf("Result will be saved to 'turbo_ber.csv'.\n");
printf("\nEnter start SNR (dB) [suggest -2.0]: ");
if(scanf("%f", &start_snr));
printf("\nEnter finish SNR (dB) [suggest 3.0]: ");
if(scanf("%f", &finish_snr));
printf("\nPlease input number of frames [e.g., 10000]: ");
if(scanf("%ld", &seq_num));
for (current_snr = start_snr; current_snr <= finish_snr; current_snr += 0.2f) // 步长建议 0.2
{
double N0 = (1.0 / code_rate) / pow(10.0, current_snr / 10.0);
float sgm = (float)sqrt(N0 / 2.0);
float Lc = 2.0f / (sgm * sgm);
long int total_bit_error = 0;
double t_start = omp_get_wtime();
// --- OpenMP 并行计算 ---
#pragma omp parallel reduction(+:total_bit_error)
{
// 内存分配 (使用 calloc 初始化为 0)
int *message = (int*)calloc(MESSAGE_LENGTH, sizeof(int));
int *parity1 = (int*)malloc(MESSAGE_LENGTH * sizeof(int));
int *parity2 = (int*)malloc(MESSAGE_LENGTH * sizeof(int));
int *interleaved_msg = (int*)malloc(MESSAGE_LENGTH * sizeof(int));
// 接收缓冲区
float *rx_sys = (float*)malloc(MESSAGE_LENGTH * sizeof(float));
float *rx_par1 = (float*)malloc(MESSAGE_LENGTH * sizeof(float));
float *rx_par2 = (float*)malloc(MESSAGE_LENGTH * sizeof(float));
// 解码缓冲区
float *L_ext1 = (float*)calloc(MESSAGE_LENGTH, sizeof(float));
float *L_ext2 = (float*)calloc(MESSAGE_LENGTH, sizeof(float));
float *L_apriori2 = (float*)calloc(MESSAGE_LENGTH, sizeof(float));
float *rx_sys_int = (float*)malloc(MESSAGE_LENGTH * sizeof(float));
float *temp_buf = (float*)malloc(MESSAGE_LENGTH * sizeof(float));
// SISO 递归数组
float (*alpha)[STATE_NUM] = malloc((MESSAGE_LENGTH + 1) * sizeof(*alpha));
float (*beta)[STATE_NUM] = malloc((MESSAGE_LENGTH + 1) * sizeof(*beta));
float (*gamma)[STATE_NUM][2] = malloc(MESSAGE_LENGTH * sizeof(*gamma));
rng_state_t rng;
// 种子混入 SNR 以保证独立性
unsigned int seed = (unsigned int)(time(0) ^ omp_get_thread_num() ^ (unsigned int)(current_snr * 1000));
rng_init(&rng, seed);
#pragma omp for schedule(dynamic)
for (long int seq = 0; seq < seq_num; seq++)
{
int i, iter;
// 1. 生成消息
for (i = 0; i < MESSAGE_LENGTH - TAIL_BITS; i++)
message[i] = rng_next(&rng) % 2;
for (i = MESSAGE_LENGTH - TAIL_BITS; i < MESSAGE_LENGTH; i++)
message[i] = 0;
// 2. 编码
for(i=0; i<MESSAGE_LENGTH; i++) interleaved_msg[i] = message[alpha_interleaver[i]];
rsc_encoder(message, parity1, MESSAGE_LENGTH);
rsc_encoder(interleaved_msg, parity2, MESSAGE_LENGTH);
// 3. 调制 + 信道 (BPSK + AWGN)
for (i = 0; i < MESSAGE_LENGTH; i++) {
// System bit
float u1 = rng_float(&rng); if(u1<1e-6f) u1=1e-6f;
float u2 = rng_float(&rng);
float g = sgm * sqrtf(-2.0f * logf(u1)) * cosf(2.0f * PI * u2);
float tx = (message[i] == 0) ? 1.0f : -1.0f;
rx_sys[i] = (tx + g) * Lc;
// Parity 1
u1 = rng_float(&rng); if(u1<1e-6f) u1=1e-6f;
u2 = rng_float(&rng);
g = sgm * sqrtf(-2.0f * logf(u1)) * cosf(2.0f * PI * u2);
tx = (parity1[i] == 0) ? 1.0f : -1.0f;
rx_par1[i] = (tx + g) * Lc;
// Parity 2
u1 = rng_float(&rng); if(u1<1e-6f) u1=1e-6f;
u2 = rng_float(&rng);
g = sgm * sqrtf(-2.0f * logf(u1)) * cosf(2.0f * PI * u2);
tx = (parity2[i] == 0) ? 1.0f : -1.0f;
rx_par2[i] = (tx + g) * Lc;
L_ext2[i] = 0.0f; // 重置外信息
}
// 4. 解码
for (iter = 0; iter < ITERATIONS; iter++) {
// Decoder 1
siso_decoder(rx_sys, rx_par1, L_ext2, L_ext1, MESSAGE_LENGTH, 0, alpha, beta, gamma);
// Interleave
for (i = 0; i < MESSAGE_LENGTH; i++) {
rx_sys_int[i] = rx_sys[alpha_interleaver[i]];
L_apriori2[i] = L_ext1[alpha_interleaver[i]];
}
// Decoder 2
siso_decoder(rx_sys_int, rx_par2, L_apriori2, L_ext2, MESSAGE_LENGTH, 0, alpha, beta, gamma);
// De-interleave
for (i = 0; i < MESSAGE_LENGTH; i++) temp_buf[i] = L_ext2[i];
for (i = 0; i < MESSAGE_LENGTH; i++) L_ext2[alpha_interleaver[i]] = temp_buf[i];
}
// 5. 判决
long local_errors = 0;
for (i = 0; i < MESSAGE_LENGTH - TAIL_BITS; i++) {
float final_LLR = rx_sys[i] + L_ext1[i] + L_ext2[i];
int dec_bit = (final_LLR >= 0) ? 0 : 1;
if (message[i] != dec_bit) local_errors++;
}
total_bit_error += local_errors;
}
// 释放内存
free(message); free(parity1); free(parity2); free(interleaved_msg);
free(rx_sys); free(rx_par1); free(rx_par2);
free(L_ext1); free(L_ext2); free(L_apriori2); free(rx_sys_int); free(temp_buf);
free(alpha); free(beta); free(gamma);
}
double t_end = omp_get_wtime();
double BER = (double)total_bit_error / (double)((MESSAGE_LENGTH - TAIL_BITS) * seq_num);
// 打印与保存
printf("SNR=%4.1f | Frames=%ld | Time=%.2fs | BER=%E\n",
current_snr, seq_num, t_end - t_start, BER);
fprintf(fp, "%.2f,%.6E\n", current_snr, BER);
fflush(fp);
}
fclose(fp);
printf("\nSimulation finished. Data saved to turbo_ber.csv.\n");
return 0;
}
// --- 辅助函数 ---
void statetable()
{
int s, u;
for (s = 0; s < STATE_NUM; s++) {
for (u = 0; u < 2; u++) {
int m1 = (s >> 1) & 1;
int m0 = s & 1;
int a_k = (u + m1 + m0) % 2;
int out = (a_k + m0) % 2;
next_state[s][u] = (a_k << 1) | m1;
output_parity[s][u] = out;
}
}
srand(12345);
int i, j, temp;
for (i = 0; i < MESSAGE_LENGTH; i++) alpha_interleaver[i] = i;
for (i = MESSAGE_LENGTH - 1; i > 0; i--) {
j = rand() % (i + 1);
temp = alpha_interleaver[i];
alpha_interleaver[i] = alpha_interleaver[j];
alpha_interleaver[j] = temp;
}
}
void rsc_encoder(int* input_bits, int* parity_out, int len)
{
int s = 0;
for (int i = 0; i < len; i++) {
int u = input_bits[i];
parity_out[i] = output_parity[s][u];
s = next_state[s][u];
}
}
void siso_decoder(float* L_in_sys, float* L_in_par, float* L_in_apriori, float* L_out_extrinsic, int len, int terminate,
float (*alpha)[STATE_NUM], float (*beta)[STATE_NUM], float (*gamma)[STATE_NUM][2])
{
int k, s, u;
// Alpha Init
for (s = 0; s < STATE_NUM; s++) alpha[0][s] = (s == 0) ? 0.0f : -INF;
// Beta Init
for (s = 0; s < STATE_NUM; s++) {
// PCCC 通常假设终止于状态0,或不假设
// 这里沿用之前的逻辑:terminate=0 -> 平坦分布
beta[len][s] = (terminate && s==0) ? 0.0f : (terminate ? -INF : 0.0f);
}
// Gamma & Alpha
for (k = 0; k < len; k++) {
for (s = 0; s < STATE_NUM; s++) {
for (u = 0; u < 2; u++) {
int parity = output_parity[s][u];
float sign_u = (u == 0) ? 1.0f : -1.0f;
float sign_p = (parity == 0) ? 1.0f : -1.0f;
gamma[k][s][u] = 0.5f * (sign_u * (L_in_sys[k] + L_in_apriori[k]) + sign_p * L_in_par[k]);
}
}
for (s = 0; s < STATE_NUM; s++) {
alpha[k+1][s] = -INF;
for(int prev_s = 0; prev_s < STATE_NUM; prev_s++) {
for(int input_bit = 0; input_bit < 2; input_bit++) {
if (next_state[prev_s][input_bit] == s) {
alpha[k+1][s] = max_star(alpha[k+1][s], alpha[k][prev_s] + gamma[k][prev_s][input_bit]);
}
}
}
}
}
// Beta
for (k = len - 1; k >= 0; k--) {
for (s = 0; s < STATE_NUM; s++) {
beta[k][s] = -INF;
for (u = 0; u < 2; u++) {
int n_s = next_state[s][u];
beta[k][s] = max_star(beta[k][s], beta[k+1][n_s] + gamma[k][s][u]);
}
}
}
// Extrinsic
for (k = 0; k < len; k++) {
float L0 = -INF;
float L1 = -INF;
for (s = 0; s < STATE_NUM; s++) {
L0 = max_star(L0, alpha[k][s] + gamma[k][s][0] + beta[k+1][next_state[s][0]]);
L1 = max_star(L1, alpha[k][s] + gamma[k][s][1] + beta[k+1][next_state[s][1]]);
}
float ext = (L0 - L1) - L_in_sys[k] - L_in_apriori[k];
if (ext > 50.0f) ext = 50.0f;
else if (ext < -50.0f) ext = -50.0f;
L_out_extrinsic[k] = ext;
}
}