Bias analysis of source location estimates from eigenspace-based spatial-spectrum estimators

Author

Xu, Xiao-Liang ; Buckley, Kevin

Author_Institution

Minnesota Univ., Minneapolis, MN, USA

Volume

2

fYear

1992

fDate

23-26 Mar 1992

Firstpage

521

Abstract

The authors rigorously derive bias expressions of source location estimates for MUSIC, MIN-NORM, and FINE for arbitrarily configured arrays. These bias expressions are a function of the null spectrum and statistics of estimated signal eigenvectors only. These expressions are valid over a wide range of signal-to-noise ratios (SNRs) extending down into the resolution threshold region. It is shown that these expressions can be accurately applied to a small number of snapshot cases

Keywords

array signal processing; eigenvalues and eigenfunctions; estimation theory; signal detection; spectral analysis; FINE; MIN-NORM; MUSIC; SNR; bias analysis; bias expressions; eigenspace; null spectrum; resolution threshold; signal eigenvectors; signal-to-noise ratios; snapshot; source location estimates; spatial spectrum estimators; statistics; Algorithm design and analysis; Multiple signal classification; Performance analysis; Position measurement; Radiology; Sensor arrays; Sensor phenomena and characterization; Signal resolution; Spatial resolution; Statistical analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1992. ICASSP-92., 1992 IEEE International Conference on

Conference_Location

San Francisco, CA

ISSN

1520-6149

Print_ISBN

0-7803-0532-9

Type

conf

DOI

10.1109/ICASSP.1992.226005

Filename

226005