【STM32H7S78-DK】测评+自适应滤波器计算速度测评

dql2016

【STM32H7S78-DK】测评+自适应滤波器计算速度测评 [复制链接]

ARM DSP 库提供了 LMS 最小均方自适应滤波和归一化最小均方自适应滤波器，自适应滤波器能够根据输入信号自动调整滤波系数进行数字滤波。对于一些应用来说，由于事先并不知道需要进行操作的参数，例如一些噪声信号的特性，所以要求 使用自适应的系数进行处理。在这种情况下，通常使用自适应滤波器，自适应滤波器使用反馈来调整滤 波器系数以及频率响应。 随着处理器性能的增强，自适应滤波器的应用越来越常见，STM32H7S78具有高性能的DSP运算性能，本帖将在STM32H7S78测试自适应滤波器的性能。

测试代码参考了大佬们的分享，

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#include "arm_math.h"
#include "arm_const_structs.h"


#define TEST_LENGTH_SAMPLES  2048    /* 采样点数 */
#define BLOCK_SIZE           2048    	 /* 调用一次arm_lms_norm_f32处理的采样点个数 */
#define NUM_TAPS             20      /* 滤波器系数个数 */

uint32_t blockSize = BLOCK_SIZE; 
uint32_t numBlocks = TEST_LENGTH_SAMPLES/BLOCK_SIZE;                /* 需要调用arm_lms_norm_f32的次数 */

static float32_t testInput_f32_50Hz_200Hz[TEST_LENGTH_SAMPLES]={0}; /* 源波形 */
static float32_t testInput_f32_REF[TEST_LENGTH_SAMPLES]={0};        /* 参考波形 */
static float32_t test_f32_ERR[TEST_LENGTH_SAMPLES]={0};             /* 误差数据 */
static float32_t testOutput[TEST_LENGTH_SAMPLES]={0};               /* 滤波后的输出 */
static float32_t lmsStateF32[BLOCK_SIZE + NUM_TAPS - 1]={0};        /* 状态缓存，大小numTaps + blockSize - 1 */
static float32_t lmsCoeffs32[NUM_TAPS] = {0};                       /* 滤波器系数 */

/* 测试数据 */
const float32_t OrigalData1[2048]= {
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//原始波形由任意波形+ 高斯分布白噪声 + 均匀分布白噪声组成，滤除高斯分布白噪声 + 均匀分布白噪声。
void arm_lms_f32_test2(void)
{
	uint32_t i;
	arm_lms_norm_instance_f32 lmsS;
	float32_t  *inputF32, *outputF32, *inputREF, *outputERR;
	
	/* 如果是实时性的滤波，仅需清零一次 */
	memset(lmsCoeffs32,0,sizeof(lmsCoeffs32));
	memset(lmsStateF32,0,sizeof(lmsStateF32));		

	/* 初始化输入输出缓存指针 */
	inputF32 = (float32_t *)&MixData[0];       /* 原始波形 */
	outputF32 = (float32_t *)&testOutput[0];   /* 滤波后输出波形 */
	inputREF = (float32_t *)&OrigalData[0];    /* 参考波形 */  
	outputERR = (float32_t *)&test_f32_ERR[0]; /* 误差数据 */  

	
	/* 归一化LMS初始化 */
	arm_lms_norm_init_f32 (&lmsS,                         /* LMS结构体 */
						   NUM_TAPS,                      /* 滤波器系数个数 */
							(float32_t *)&lmsCoeffs32[0], /* 滤波 */ 
							&lmsStateF32[0],              /* 滤波器系数 */
							0.01,                    	  /* 步长 */
							blockSize);                   /* 处理的数据个数 */


	/* 实现LMS自适应滤波，这里每次处理1个点 */
	for(i=0; i < numBlocks; i++)
	{
		
		arm_lms_norm_f32(&lmsS, /* LMS结构体 */
						inputF32 + (i * blockSize),   /* 输入数据 */
						inputREF + (i * blockSize),   /* 输出数据 */
						outputF32 + (i * blockSize),  /* 参考数据 */
						outputERR + (i * blockSize),  /* 误差数据 */
						blockSize);					  /* 处理的数据个数 */

	}
	
	
	/* 打印滤波后结果 */
	for(i=0; i<TEST_LENGTH_SAMPLES; i++)
	{
		printf("%f, %f, %f\r\n", MixData[i], outputF32[i], test_f32_ERR[i]);
	}
	
}

图中红色信号是原始测试波形数据，绿色是滤波后数据，可见噪声毛刺基本被滤除，

性能

 

 

计算2048点自适应滤波耗时180个时钟周期，主频配置的是600MHz，即1/600*180=0.3us，足以满足一般实时性要求较高的场合。

stm32h7r自适应滤波测试.zip (17.62 MB, 下载次数: 0)

2024-11-11 22:02 上传

点击文件名下载附件

Jacktang

滤除噪声毛刺效果还是可以的