基于中值滤波预处理的强冲击噪声背景测向方法

doi:10.12263/DZXB.20200392

电子学报 ›› 2021, Vol. 49 ›› Issue (6): 1159-1166.DOI: 10.12263/DZXB.20200392

基于中值滤波预处理的强冲击噪声背景测向方法

安春莲¹, 杨古月², 杨延菊¹

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

收稿日期:2020-04-24 修回日期:2020-10-08 出版日期:2021-06-25
- 作者简介:
- 安春莲 女,1987年2月出生,重庆璧山人,博士,高级工程师.研究方向:阵列信号处理,多元信息融合.E-mail:ancl2019@163.com;杨古月 男,1987年11月出生,吉林四平人,硕士,工程师.研究方向:电磁兼容技术、信号处理技术.E-mail:644290295@qq.com;杨延菊 女,1985年4月出生,河北邢台人,博士,副教授.研究方向:工程电磁场与智能探测技术.E-mail:962232045@qq.com
- 基金资助:
- 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）

DOA Estimation Under Strong Impulsive Noise Based on Median Value Filtering

AN Chun-lian¹, YANG Gu-yue², YANG Yan-ju¹

1. Chongqing Engineering Research Center of New Energy Storage Devices and Applications, Chongqing University of Arts and Sciences, Chongqing 402160, China;
2. Southwest China Research Institute of Electronic Equipment, Chengdu, Sichuan 610000, China

Received:2020-04-24 Revised:2020-10-08 Online:2021-06-25 Published:2022-06-25
- Supported by:
- National Natural Science Foundation of China (No.51907013); Science and Technology Research Program of Chongqing Municipal Education Commission (No.KJQN202001315, No.KJQN201801302); “Taji Project”of Chongqing University of Arts and Science (No.R2019SDQ03)

摘要/Abstract

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.

关键词: DOA估计, 冲击噪声, 中值滤波预处理, 分数低阶统计量

Abstract: 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.

Key words: direction of arrival estimation, impulsive noise, median value filtering preprocessing, fractional lower order statistics

中图分类号:

TN911.7

安春莲, 杨古月, 杨延菊. 基于中值滤波预处理的强冲击噪声背景测向方法[J]. 电子学报, 2021, 49(6): 1159-1166.

AN Chun-lian, YANG Gu-yue, YANG Yan-ju . DOA Estimation Under Strong Impulsive Noise Based on Median Value Filtering[J]. Acta Electronica Sinica, 2021, 49(6): 1159-1166.

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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

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