Performance of recursive suppression algorithm in nonstationary environments

Author

Torrieri, Don ; Bakhru, Kesh

Author_Institution

Dept. of the Army, Adelphi, MD, USA

Volume

43

Issue

3

fYear

1995

fDate

3/1/1995 12:00:00 AM

Firstpage

299

Lastpage

307

Abstract

Adaptive superresolution algorithms possess the inherent ability to adapt to nonstationary environments. The recursive suppression algorithm is shown to provide much better resolution than the MUSIC algorithm when the average signal-to-noise ratios at array outputs are low and there are power variations or there is relative motion between the array and closely spaced signal sources. An implementation of the recursive suppression algorithm using digital signal processing is presented

Keywords

adaptive signal processing; array signal processing; interference suppression; signal resolution; adaptive superresolution algorithms; array outputs; average signal-to-noise ratios; closely spaced signal sources; digital signal processing; nonstationary environments; power variations; recursive suppression algorithm; relative motion; Adaptive arrays; Adaptive filters; Adaptive systems; Antenna arrays; Directive antennas; Military computing; Multiple signal classification; Receiving antennas; Signal processing algorithms; Signal resolution;

fLanguage

English

Journal_Title

Antennas and Propagation, IEEE Transactions on

Publisher

ieee

ISSN

0018-926X

Type

jour

DOI

10.1109/8.372000

Filename

372000