A fast CFAR detection space-time adaptive processing algorithm

Author

Reed, Irving S. ; Gau, Yow-Ling

Author_Institution

Dept. of Electr. Eng. Syst., Univ. of Southern California, Los Angeles, CA, USA

Volume

47

Issue

4

fYear

1999

fDate

4/1/1999 12:00:00 AM

Firstpage

1151

Lastpage

1154

Abstract

All of the conventional CFAR detection algorithms that use space-time processing involve a time-consuming matrix-inversion operation. Based on today´s technology, this computational complexity sometimes makes the full-rank solution difficult to realize. In this correspondence, a CFAR detection algorithm, which does not need a matrix inversion, is developed by an adaptation and extension of Hotelling´s principal-component method studied recently by Kirsteins and Tufts (1994). Finally, the performance of the new CFAR test statistic is analyzed, and the effect of the rank reduction on performance is evaluated for an example scenario

Keywords

adaptive signal detection; eigenvalues and eigenfunctions; principal component analysis; probability; radar detection; radar signal processing; space-time adaptive processing; CFAR detection algorithm; CFAR test statistic; principal-component method; radar detection; rank reduction; space-time adaptive processing algorithm; Computational complexity; Covariance matrix; Detection algorithms; Parameter estimation; Radar clutter; Radar detection; Signal processing; Signal processing algorithms; Statistical analysis; Testing;

fLanguage

English

Journal_Title

Signal Processing, IEEE Transactions on

Publisher

ieee

ISSN

1053-587X

Type

jour

DOI

10.1109/78.752615

Filename

752615