PD-CFAR C语言实现
时间: 2024-06-09 21:09:47 浏览: 72
PD-CFAR 是一种雷达信号处理算法,它可以用于检测目标并降低虚警率。以下是一个简单的 C 语言实现。
```
#include <stdio.h>
#include <stdlib.h>
#include <math.h>
#define PI 3.14159265358979323846
// PD-CFAR 算法
void pd_cfar(double *data, int len, int guard_len, int train_len, double beta, double threshold, int *result) {
int i, j;
double *train = (double*) malloc(train_len * sizeof(double));
double *guard = (double*) malloc(guard_len * sizeof(double));
double *signal = (double*) malloc(len * sizeof(double));
// 计算噪声均值
double sum = 0;
for (i = 0; i < train_len; i++) {
sum += data[i];
}
double noise_mean = sum / train_len;
// 计算噪声标准差
sum = 0;
for (i = 0; i < train_len; i++) {
sum += pow(data[i] - noise_mean, 2);
}
double noise_std = sqrt(sum / (train_len - 1));
// 计算半径大小
double radius = pow(noise_std, beta) * threshold;
// 计算信号
for (i = 0; i < len; i++) {
double sum1 = 0, sum2 = 0;
for (j = i - guard_len; j <= i + guard_len; j++) {
if (j < 0 || j >= len) {
continue;
}
if (j < i - train_len || j > i + train_len) {
guard[j - (i - guard_len)] = data[j];
} else {
train[j - (i - train_len)] = data[j];
}
}
for (j = 0; j < train_len; j++) {
sum1 += train[j];
}
for (j = 0; j < guard_len; j++) {
sum2 += guard[j];
}
double signal_value = sum2 / guard_len - noise_mean;
if (signal_value > radius) {
signal[i] = 1;
} else {
signal[i] = 0;
}
}
// 输出结果
for (i = 0; i < len; i++) {
result[i] = (int) signal[i];
}
free(train);
free(guard);
free(signal);
}
// 测试
int main() {
double data[] = {
5, 6, 3, 4, 2, 3, 4, 5, 7, 6, 5, 4, 7, 8, 3, 2, 2, 3, 5, 6, 7, 4, 3, 2, 1, 2, 3, 4, 5, 6, 7
};
int len = sizeof(data) / sizeof(double);
int *result = (int*) malloc(len * sizeof(int));
pd_cfar(data, len, 3, 5, 1.5, 0.1, result);
for (int i = 0; i < len; i++) {
printf("%d\n", result[i]);
}
free(result);
return 0;
}
```
以上代码实现了 PD-CFAR 算法,并且对一个简单的数据进行了测试。其中,`data` 是输入数据,`len` 是数据长度,`guard_len` 是保护区长度,`train_len` 是训练区长度,`beta` 是参数,`threshold` 是阈值,`result` 是输出结果。
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