Robust Adaptive Trimming for High-Resolution Direction Finding

Author

Lim, Chin-Heng ; See, Samson Chong-Meng ; Zoubir, Abdelhak M. ; Ng, Boon Poh

Author_Institution

Temasek Labs., Nanyang Technol. Univ., Singapore

Volume

16

Issue

7

fYear

2009

fDate

7/1/2009 12:00:00 AM

Firstpage

580

Lastpage

583

Abstract

The presence of impulsive noise can severely degrade the accuracy performance of conventional direction of arrival (DOA) estimation algorithms, such as MUSIC and ESPIRIT. We propose a two-stage robust adaptive trimming approach. We first apply Shapiro-Wilk´s goodness-of-fit W test for Gaussianity, as a preprocessing stage. We then robustly estimate the covariance matrix in order to minimize the impact of impulsive noise on conventional DOA estimation algorithms. Numerical simulations are presented to illustrate the efficacy of the proposed approach for high resolution direction finding in highly-impulsive environments.

Keywords

covariance matrices; direction-of-arrival estimation; impulse noise; signal resolution; DOA estimation algorithm; Shapiro-Wilk goodness-of-fit W test method; covariance matrix; direction-of-arrival estimation; high-resolution direction finding scheme; impulsive noise; robust adaptive trimming method; Direction-finding; MUSIC algorithm; Shapiro-Wilk\´s $W$ test; impulsive noise; robust adaptive trimming;

fLanguage

English

Journal_Title

Signal Processing Letters, IEEE

Publisher

ieee

ISSN

1070-9908

Type

jour

DOI

10.1109/LSP.2009.2019740

Filename

4806108