DOA Estimation Under Strong Impulsive Noise Based on Median Value Filtering

安春莲; 杨古月; 杨延菊

doi:10.12263/DZXB.20200392

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DOA Estimation Under Strong Impulsive Noise Based on Median Value Filtering

更新时间：2025-12-08

- DOA Estimation Under Strong Impulsive Noise Based on Median Value Filtering
- Acta Electronica Sinica Vol. 49, Issue 6, Pages: 1159-1166(2021)
- 作者机构：
- 作者简介：
- 基金信息：
  
  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)
- DOI：10.12263/DZXB.20200392
  CLC： TN911.7
- Published：2021
- 稿件说明：
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安春莲, 杨古月, 杨延菊. DOA Estimation Under Strong Impulsive Noise Based on Median Value Filtering[J]. Acta Electronica Sinica, 2021, 49(6): 1159-1166.
DOI：

安春莲, 杨古月, 杨延菊. DOA Estimation Under Strong Impulsive Noise Based on Median Value Filtering[J]. Acta Electronica Sinica, 2021, 49(6): 1159-1166. DOI： 10.12263/DZXB.20200392.

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.

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.

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