A Robust PAST Algorithm in Alpha Stable Noise Environment

LI Sen

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A Robust PAST Algorithm in Alpha Stable Noise Environment

更新时间：2025-07-16

- A Robust PAST Algorithm in Alpha Stable Noise Environment
- Acta Electronica Sinica Vol. 37, Issue 3, Pages: 519-522(2009)
- 作者机构：
  
  1. 大连理工大学电子与信息工程学院,辽宁,大连,116024
  2. 大连海事大学信息科学技术学院,辽宁,大连,116026
  3. 大连理工大学电子与信息工程学院辽宁大连,116024
  4. 大连海事大学信息科学技术学院辽宁大连,116026
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN911.7
- Published：2009
- 稿件说明：
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LI Sen. A Robust PAST Algorithm in Alpha Stable Noise Environment[J]. Acta Electronica Sinica, 2009, 37(3): 519-522.
DOI：

LI Sen. A Robust PAST Algorithm in Alpha Stable Noise Environment[J]. Acta Electronica Sinica, 2009, 37(3): 519-522. DOI：

摘要

为了克服投影近似子空间跟踪算法(PAST)在脉冲噪声环境下性能的退化

本文以Alpha 稳定分布为脉冲噪声模型

依据韧性的M估计方法提出了一种新的代价函数

并推导出基于递归最小M估计的韧性投影近似自适应信号子空间跟踪算法(RLM

PAST).由于采用了适合噪声模型的M估计函数

新算法与采用递归最小二乘估计的子空间跟踪算法相比

在稳定分布脉冲噪声环境下具有更好的性能.把新方法应用于波达方向(DOA)估计

数值仿真结果表明了该算法的有效性.

Abstract

In order to improve the performance of projection approximation subspace tracking (PAST) algorithm under impulsive noise environment

based on Alpha stable distribution as the impulsive noise model

a new cost function is proposed using the robust m-estimation method and then the robust PAST algorithm (RLM

PAST) is deducted based on the recursive least m-estimate.Because the robust m-estimation function suitable for the Alpha stable noise model is used

the proposed algorithm offers good performance against impulsive noise over the PAST algorithm in direction of arrival (DOA ) estimation.The simulation results show the efficiency of the proposed algorithm.

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