ldpc 加权比特译码算法c语言
时间: 2023-09-15 12:17:56 浏览: 52
以下是LDPC加权比特译码算法的C语言代码:
```c
#include <stdio.h>
#include <stdlib.h>
#include <math.h>
#define MAX_ITER 50
#define EPS 1e-7
double* LLR; // 信道输入
double* LLRout; // 译码输出
double** H; // LDPC 矩阵
double** W; // 权重矩阵
int* rowsize; // 每行非零元素个数
int n; // 码字长度
int m; // 码字检验位数
int nC; // 变量节点数
int nV; // 校验节点数
int sign(double x) {
return (x >= 0) ? 1 : -1;
}
void ldpc_encoder(double* u, double* v) {
int i, j;
for (i = 0; i < m; i++) {
v[i] = 0;
for (j = 0; j < rowsize[i]; j++) {
v[i] += u[H[i][j]] * W[i][j];
}
v[i] = tanh(v[i]);
}
}
void ldpc_decoder() {
int iter, i, j, k;
double **vnode, **cnode, **Q, **R;
double *vnode_sum, *cnode_sum;
double **vnode_msg, **cnode_msg;
double **cnode_prev;
vnode = (double**) malloc(nV * sizeof(double*));
for (i = 0; i < nV; i++) {
vnode[i] = (double*) malloc(2 * nC * sizeof(double));
}
cnode = (double**) malloc(nC * sizeof(double*));
for (i = 0; i < nC; i++) {
cnode[i] = (double*) malloc(2 * rowsize[i] * sizeof(double));
}
Q = (double**) malloc(nC * sizeof(double*));
for (i = 0; i < nC; i++) {
Q[i] = (double*) malloc(rowsize[i] * sizeof(double));
}
R = (double**) malloc(nC * sizeof(double*));
for (i = 0; i < nC; i++) {
R[i] = (double*) malloc(rowsize[i] * sizeof(double));
}
vnode_sum = (double*) malloc(nC * sizeof(double));
cnode_sum = (double*) malloc(nV * sizeof(double));
vnode_msg = (double**) malloc(nV * sizeof(double*));
for (i = 0; i < nV; i++) {
vnode_msg[i] = (double*) malloc(rowsize[i] * sizeof(double));
}
cnode_msg = (double**) malloc(nC * sizeof(double*));
for (i = 0; i < nC; i++) {
cnode_msg[i] = (double*) malloc(2 * rowsize[i] * sizeof(double));
}
cnode_prev = (double**) malloc(nC * sizeof(double*));
for (i = 0; i < nC; i++) {
cnode_prev[i] = (double*) malloc(rowsize[i] * sizeof(double));
}
// 初始化变量节点信息
for (i = 0; i < nV; i++) {
for (j = 0; j < rowsize[i]; j++) {
vnode_msg[i][j] = LLR[i];
}
}
// 迭代译码
for (iter = 0; iter < MAX_ITER; iter++) {
// 变量节点更新
for (i = 0; i < nV; i++) {
for (j = 0; j < rowsize[i]; j++) {
double product = 1;
for (k = 0; k < rowsize[i]; k++) {
if (j != k) {
product *= tanh(0.5 * vnode[i][2 * k + 1]);
}
}
vnode_msg[i][j] = 2 * atanh(product);
}
}
// 校验节点更新
for (i = 0; i < nC; i++) {
for (j = 0; j < rowsize[i]; j++) {
int k = H[i][j];
double product = 1;
for (int l = 0; l < rowsize[i]; l++) {
if (j != l) {
product *= tanh(0.5 * cnode_prev[i][l]);
}
}
Q[i][j] = product;
R[i][j] = tanh(0.5 * vnode[k][2 * j]);
cnode_msg[i][2 * j] = atanh(Q[i][j] * R[i][j]);
cnode_msg[i][2 * j + 1] = LLR[k];
}
}
// 校验节点求和
for (i = 0; i < nC; i++) {
vnode_sum[i] = 0;
for (j = 0; j < rowsize[i]; j++) {
vnode_sum[i] += cnode_msg[i][2 * j];
}
}
// 变量节点求和
for (i = 0; i < nV; i++) {
cnode_sum[i] = 0;
for (j = 0; j < rowsize[i]; j++) {
cnode_sum[i] += cnode_msg[H[i][j]][2 * j + 1];
}
}
// 更新变量节点
for (i = 0; i < nV; i++) {
for (j = 0; j < rowsize[i]; j++) {
double sum = cnode_sum[i] - cnode_msg[H[i][j]][2 * j + 1];
vnode[i][2 * j + 1] = sum + vnode_msg[i][j];
vnode[i][2 * j] = 2 * atanh(tanh(0.5 * sum) * tanh(0.5 * vnode_msg[i][j]));
}
}
// 更新校验节点
for (i = 0; i < nC; i++) {
for (j = 0; j < rowsize[i]; j++) {
cnode_prev[i][j] = cnode_msg[i][2 * j] - vnode_sum[i];
}
}
// 判断停止条件
int stop = 1;
for (i = 0; i < nV; i++) {
if (fabs(LLR[i] - vnode[i][1]) > EPS) {
stop = 0;
break;
}
}
if (stop) {
break;
}
}
// 译码输出
for (i = 0; i < n; i++) {
LLRout[i] = vnode[i][1];
}
// 释放内存
for (i = 0; i < nV; i++) {
free(vnode[i]);
}
free(vnode);
for (i = 0; i < nC; i++) {
free(cnode[i]);
free(Q[i]);
free(R[i]);
free(cnode_prev[i]);
}
free(cnode);
free(Q);
free(R);
free(cnode_prev);
free(vnode_sum);
free(cnode_sum);
for (i = 0; i < nV; i++) {
free(vnode_msg[i]);
}
free(vnode_msg);
for (i = 0; i < nC; i++) {
free(cnode_msg[i]);
}
free(cnode_msg);
}
int main() {
// 初始化 LDPC 码
n = 6; // 码字长度
m = 3; // 码字检验位数
nC = m; // 变量节点数
nV = n - m; // 校验节点数
LLR = (double*) malloc(n * sizeof(double));
LLRout = (double*) malloc(n * sizeof(double));
H = (double**) malloc(m * sizeof(double*));
W = (double**) malloc(m * sizeof(double*));
rowsize = (int*) malloc(m * sizeof(int));
H[0] = (double[]) {0, 2, 3};
H[1] = (double[]) {1, 2, 4};
H[2] = (double[]) {3, 4, 5};
W[0] = (double[]) {1.0, 2.0, 3.0};
W[1] = (double[]) {4.0, 5.0, 6.0};
W[2] = (double[]) {7.0, 8.0, 9.0};
rowsize[0] = 3;
rowsize[1] = 3;
rowsize[2] = 3;
// 初始化信道输入
LLR[0] = 0.2;
LLR[1] = -0.3;
LLR[2] = 0.4;
LLR[3] = -0.5;
LLR[4] = 0.6;
LLR[5] = -0.7;
// LDPC 解码
ldpc_decoder();
// 输出译码结果
int i;
for (i = 0; i < n; i++) {
printf("%f ", LLRout[i]);
}
printf("\n");
// 释放内存
free(LLR);
free(LLRout);
free(rowsize);
free(H);
free(W);
return 0;
}
```
注意,这段代码只是一个简单的示例,实际应用中可能需要根据具体情况进行修改。此外,代码中使用了 `tanh` 和 `atanh` 函数,需要包含 `<math.h>` 头文件。