多普勒信号的小波域维纳滤波方法  

Wiener Filtering Method of Wavelet Domain Doppler Signal

作　　者：祁斐 宁波 霍鹏飞[1] QI Fei;NING Bo;HUO Pengfei(Xi'an Institute of Electrical and Mechanical Information Technology,Xi'an 710065,China;Xi'an Military Representative Burear,PLAGF,Xi'an 710043,China)

机构地区：[1]西安机电信息技术研究所,陕西西安710065 [2]陆军装备部驻西安地区第四军代室,陕西西安710043

出　　处：《探测与控制学报》2019年第3期32-36,共5页Journal of Detection & Control

摘　　要：针对多普勒信号检测的小波变换法阈值去噪方法对低频噪声的抑制不理想的缺点,提出一种小波变换阈值处理和维纳滤波联合的多普勒信号去噪方法.该方法在小波阈值法去噪的基础上,对信号的低频小波系数进行维纳平滑处理,然后系数重构得到多普勒信号.仿真验证结果表明,通过小波变换下对小波分解系数进行进一步的维纳滤波,在多普勒回波信号处理过程中得到了比较理想的结果,获得了更好的目标检测性能.Focusing on the disadvantage of threshold denoising method based on wavelet transform for Doppler signal detection,a signal denoising method based on wavelet transform thresholding and Wiener filtering denoising was proposed.On the basis of wavelet transform threshold denoising,the low-frequency wavelet coefficients of the signal were Wiener filtered,and then the Doppler signal was reconstructed with filtered coefficients.The processing result indicated that this method could suppress the small signal noise obviously and improve the detection performance of the system significantly.

关 键 词：多普勒信号处理 小波变换 维纳滤波 阈值法 目标检测 

分 类 号：TN911.72[电子电信—通信与信息系统]