基于中值滤波预处理的强冲击噪声背景测向方法  

DOA Estimation Under Strong Impulsive Noise Based on Median Value Filtering

作　　者：安春莲 杨古月 杨延菊 AN Chun-lian;YANG Gu-yue;YANG Yan-ju(Chongqing Engineering Research Center of New Energy Storage Devices and Applications,Chongqing University of Arts and Sciences,Chongqing 402160,China;Southwest China Research Institute of Electronic Equipment,Chengdu,Sichuan 610000,China)

机构地区：[1]重庆文理学院重庆市高校新型储能器件及应用工程研究中心,重庆402160 [2]西南电子设备研究所,四川成都610000

出　　处：《电子学报》2021年第6期1159-1166,共8页Acta Electronica Sinica

基　　金：国家自然科学基金项目(No.51907013);重庆市教委科学技术研究项目(No.KJQN202001315,No.KJQN201801302);重庆文理学院塔基计划(No.R2019SDQ03)。

摘　　要：冲击噪声环境下的测向算法大多基于分数低阶统计量,其不仅计算复杂度较高,而且对强冲击噪声的适应性也较差.通过对冲击噪声的分布特性进行研究和分析,利用其冲击成分出现概率相对较低且具有随机性的特点,提出了基于中值滤波的测向新方法,并推导了冲击噪声背景测向的克拉美罗界.首先,引入中值滤波方法对阵列接收数据进行平滑处理,滤除冲击噪声,并提出了针对强冲击噪声的改进方法,然后利用传统的二阶矩方法求阵列接收数据协方差矩阵并进行波达方向(Direction Of Arrival,DOA)估计.理论分析和仿真验证结果表明:所提方法处理过程简单,对低信噪比和强冲击噪声情况下的测向性能有很大的改善和提高.The present direction of arrival(DOA)estimation methods in impulsive noise environment are mostly based on the fractional lower order statistics,which has huge computational complexity and poor performance at strong impulsive noise.By researching and analyzing the distribution of the impulsive noise,we propose a method based on the median value filtering utilizing the low probability and randomness of the impulse.And we present the Cramer-Rao bound(CRB)of angle estimation in the impulsive noise.The median value filtering method is applied to the array received data to eliminate the impulse noise,and the improved method is derived for DOA estimation in strong impulsive noise.Then,the common second-order moment method can be exploited to estimate the DOAs.Theoretical analysis and simulation results show that the proposed method has small computational load as well as excellent performance,and can improve the estimation performance at low signal to noise ratio and strong impulsive noise remarkably.

关 键 词：DOA估计 冲击噪声 中值滤波预处理 分数低阶统计量 

分 类 号：TN911.7[电子电信—通信与信息系统]