Signal subspace projection methods of adaptive sensor array processing

Author

Carhoun, Dean O.

Author_Institution

Mitre Corp., Bedford, MA, USA

fYear

1993

fDate

1-3 Nov 1993

Firstpage

1121

Abstract

Reduced-rank subspace projection methods are used indirectly in frequency and angle-of-arrival estimation algorithms such as MUSIC and its relatives, but they are not commonly used directly in least-squares detection applications. The author has been exploring their use for the processing of underwater acoustic receiver array data for detection and matched-field localization. He describes and illustrates several techniques that have been developed and applied to signals recorded from different types of arrays

Keywords

acoustic signal processing; array signal processing; signal detection; sonar; MUSIC; adaptive sensor array processing; angle-of-arrival estimation algorithms; frequency estimation algorithms; least-squares detection applications; matched-field localization; reduced-rank subspace projection methods; signal subspace projection methods; underwater acoustic receiver array data; Acoustic arrays; Acoustic sensors; Acoustic signal detection; Adaptive arrays; Array signal processing; Frequency estimation; Interference; Matrix decomposition; Multiple signal classification; Sensor arrays; Signal processing; Signal to noise ratio; Underwater acoustics; Underwater tracking;

fLanguage

English

Publisher

ieee

Conference_Titel

Signals, Systems and Computers, 1993. 1993 Conference Record of The Twenty-Seventh Asilomar Conference on

Conference_Location

Pacific Grove, CA

ISSN

1058-6393

Print_ISBN

0-8186-4120-7

Type

conf

DOI

10.1109/ACSSC.1993.342396

Filename

342396