Performance analysis of a Robust Low-Rank STAP filter in low-rank Gaussian clutter

Author

Ginolhac, G. ; Forster, P.

Author_Institution

CNRS, UniverSud, Cachan, France

fYear

2010

fDate

14-19 March 2010

Firstpage

2746

Lastpage

2749

Abstract

In this paper, we consider that the disturbance of a STAP system is composed of a low-rank Gaussian clutter and a white Gaussian noise. From this model, the theoretical SNR Loss of a Robust Low-Rank STAP filter based on the Normalized Sample Covariance Matrix is derived by means of a perturbation analysis. Theoretical results are shown to be in good agreement with simulations for a realistic STAP configuration. Our analysis extends previous result on the SNR loss of Low-Rank STAP filtering based on the Sample Covariance Matrix.

Keywords

Gaussian noise; adaptive filters; covariance matrices; perturbation techniques; radar clutter; space-time adaptive processing; STAP filter; low-rank Gaussian clutter; normalized sample covariance matrix; perturbation analysis; space time adaptive processing; white Gaussian noise; Adaptive filters; Clutter; Contamination; Covariance matrix; Eigenvalues and eigenfunctions; Gaussian noise; Noise robustness; Performance analysis; Signal to noise ratio; White noise; Low-Rank Gaussian Clutter; Normalized Sample Covariance Matrix; Perturbation Analysis; STAP;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on

Conference_Location

Dallas, TX

ISSN

1520-6149

Print_ISBN

978-1-4244-4295-9

Electronic_ISBN

1520-6149

Type

conf

DOI

10.1109/ICASSP.2010.5496218

Filename

5496218