Performance analysis of direction finding using lag redundancy averaging

Author

Doron, Miriam A. ; Weiss, Anthony J.

Author_Institution

Rafael, Haifa, Israel

Volume

41

Issue

3

fYear

1993

fDate

3/1/1993 12:00:00 AM

Firstpage

1386

Lastpage

1391

Abstract

The lag redundancy averaging (LRA) method for processing linear equispaced arrays is examined. LRA is a simple procedure for estimating Toeplitz covariance matrices, which can be computed efficiently by means of spatial fast Fourier transform (FFT) algorithms. The effect of LRA on the performance of the MUSIC method for uncorrelated sources is investigated. Closed-form expressions for the asymptotic bearing accuracy are obtained. It is shown, for the single source case, that the LRA method is asymptotically efficient. For two equipowered sources, it is shown that while the resolution threshold of the LRA method is superior to that of standard MUSIC, its asymptotic accuracy is inferior

Keywords

array signal processing; radio direction-finding; FFT algorithms; MUSIC method; Toeplitz covariance matrices; asymptotic bearing accuracy; closed form expressions; direction finding; equipowered sources; lag redundancy averaging; linear equispaced array processing; performance analysis; resolution threshold; spatial fast Fourier transform; uncorrelated sources; Additive white noise; Aging; Covariance matrix; Gaussian noise; Maximum likelihood estimation; Multiple signal classification; Narrowband; Performance analysis; Sensor arrays; Vectors;

fLanguage

English

Journal_Title

Signal Processing, IEEE Transactions on

Publisher

ieee

ISSN

1053-587X

Type

jour

DOI

10.1109/78.205737

Filename

205737