Improved DOA estimation via pseudorandom resampling of spatial spectrum

Author

Gershman, Alex B. ; Böhme, Johann F.

Author_Institution

Dept. of Electr. Eng., Ruhr-Univ., Bochum, Germany

Volume

4

Issue

2

fYear

1997

Firstpage

54

Lastpage

57

Abstract

A new pseudorandom spatial spectrum resampling scheme for improving the threshold performance of eigenstructure direction of arrival (DOA) estimators is proposed. Our approach is based on combining additional information arising when several underlying DOA estimators are available simultaneously, e.g., are calculated in parallel manner using given estimate of covariance matrix. Pseudorandomly generated weighted MUSIC estimators are exploited as appropriate underlying spatial spectral functions. Simulations show that our approach significantly improves the DOA estimation signal-to-noise ratio (SNR) threshold relative to the conventional and beamspace MUSIC estimators, and performs in the threshold region almost as well as the stochastic maximum likelihood (ML) estimator.

Keywords

array signal processing; covariance matrices; direction-of-arrival estimation; eigenvalues and eigenfunctions; signal sampling; spectral analysis; DOA estimation; MUSIC estimators; SNR threshold; array processing; covariance matrix; eigenstructure direction of arrival estimators; pseudorandom resampling; signal-to-noise ratio; spatial spectral functions; spatial spectrum; threshold performance; Covariance matrix; Data mining; Direction of arrival estimation; Maximum likelihood estimation; Multiple signal classification; Root mean square; Sensor arrays; Signal resolution; Signal to noise ratio; Stochastic processes;

fLanguage

English

Journal_Title

Signal Processing Letters, IEEE

Publisher

ieee

ISSN

1070-9908

Type

jour

DOI

10.1109/97.554472

Filename

554472