最小方差无失真响应波束形成解卷积后处理算法  

Deconvolution Post-processing Algorithm of Minimum Variance Distortionless Response Beamformer

作　　者：宋其岩 马晓川[1,2] 李璇 詹飞[1] SONG Qiyan;MA Xiaochuan;LI Xuan;ZHAN Fei(Institute of Acoustics,Chinese Academy of Sciences,Key Laboratory of Underwater Vehicle Information Technology,Chinese Academy of Sciences,Beijing 100190,China;University of Chinese Academy of Sciences,Beijing 100049,China)

机构地区：[1]中国科学院声学研究所中科院水下航行器信息技术重点实验室,北京100190 [2]中国科学院大学,北京100049

出　　处：《信号处理》2022年第1期9-18,共10页Journal of Signal Processing

基　　金：中科院青促会资助。

摘　　要：为提高最小方差无失真响应(Minimum Variance Distortionless Response,MVDR)波束形成算法的方位分辨能力,本文将MVDR算法的输出功率谱重新建模为卷积的形式,并运用两种解卷积技术对MVDR的方位谱进行后处理。该算法将角度空间中心位置的单个声源的MVDR方位谱当作点扩散函数(Point Spreading Function,PSF),并运用Richardson-Lucy算法和快速迭代收缩阈值算法(Fast Iterative Shrinkage-Thresholding Algorithm,FISTA)分别对MVDR(MVDR-RL,MVDR-FISTA)的方位谱进行解卷积后处理,获得背景级更低的MVDR-RL和MVDR-FISTA方位谱,同时提高了分辨能力和估计精度。仿真实验显示了所提算法的良好性能。In order to improve the azimuth estimation capability of the minimum variance distortionless response(MVDR)beamforming algorithm,the output power spectrum of the MVDR algorithm was reformed as a convolution form,two deconvolution post-processing techniques were proposed to deconvolve the azimuth spectrum of MVDR.The algorithms take the MVDR azimuth spectrum of a single sound source at the center of the angular space as a point spreading function(PSF),and use the Richardson-Lucy algorithm and the fast iterative shrinkage-thresholding algorithm(FISTA)to deconvolute the MVDR(MVDR-RL,MVDR-FISTA)azimuth spectrum.The MVDR-RL and MVDR-FISTA azimuth spectrum has lower background level,higher resolution,and higher estimation accuracy.Simulation experiments show the good performance of the proposed algorithm.

关 键 词：最小方差无失真响应 解卷积 Richardson-Lucy 快速迭代收缩阈值 方位估计 

分 类 号：TN911.72[电子电信—通信与信息系统]