A modified Conjugate Gradient algorithm for low sample support in STAP radar

Author

Belkacemi, Hocine ; Marcos, Sylvie ; Lesturgie, Marc

Author_Institution

Lab. des Signaux et Syst., Supelec, Gif-sur-Yvette, France

fYear

2006

fDate

4-8 Sept. 2006

Firstpage

1

Lastpage

5

Abstract

The Conjugate Gradient (CG) has been shown recently to be equivalent to the MultiStage Wiener Filter (MSWF) [1] which is an effective tool for interference suppression in space-time adaptive processing radar. In this paper, we give further insight on the interconnection between the MSWF and the CG. We propose a modified version of the CG for low sample support where we use the forward/backward (f/b) averaging for estimating the covariance estimation. The new algorithm takes benefits of the CG for rank compression and of the (f/b) subaperture smoothing for sample support compression [2]. The effectiveness of the algorithm is demonstrated through simulations.

Keywords

Wiener filters; adaptive radar; conjugate gradient methods; interference suppression; space-time adaptive processing; MSWF; STAP radar; conjugate gradient algorithm; covariance estimation; interference suppression; multistage Wiener filter; rank compression; space-time adaptive processing radar; subaperture smoothing; Arrays; Interference; Jamming; Signal to noise ratio; Smoothing methods; Vectors;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing Conference, 2006 14th European

Conference_Location

Florence

ISSN

2219-5491

Type

conf

Filename

7071272