FFT-based conjugate gradient method for optimal STAP

Author

Li, Youming ; Cheong, Chee Hoo

Author_Institution

DSO Nat. Labs., Singapore, Singapore

fYear

2001

fDate

2001

Firstpage

778

Lastpage

782

Abstract

A fast conjugate-gradient iterative algorithm (CGIA) for solving optimal space-time adaptive processing (STAP) problem is proposed. The algorithm is based on FFT by exploring the block Toeplitz with Toeplitz block (BTTB) structure of the interference covariance matrix. Therefore the computational complexity is significantly reduced as compared with the matrix inversion method. Computer simulations are provided for illustrating the effectiveness of the proposed method

Keywords

Toeplitz matrices; airborne radar; computational complexity; conjugate gradient methods; covariance matrices; fast Fourier transforms; interference suppression; linear antenna arrays; matrix inversion; matrix multiplication; military radar; optimisation; radar clutter; space-time adaptive processing; FFT-based conjugate gradient method; Toeplitz block structure; airborne early warning radar; block Toeplitz; clutter suppression; computational complexity reduction; computer simulations; fast conjugate-gradient iterative algorithm; interference covariance matrix; low computational complexity method; matrix inversion method; matrix-vector multiplication; optimal STAP; simulation results; space-time adaptive processing; uniform linear antenna array; Clutter; Covariance matrix; Data models; Equations; Gradient methods; Interference; Iterative algorithms; Jacobian matrices; Radar; Vectors;

fLanguage

English

Publisher

ieee

Conference_Titel

Radar, 2001 CIE International Conference on, Proceedings

Conference_Location

Beijing

Print_ISBN

0-7803-7000-7

Type

conf

DOI

10.1109/ICR.2001.984829

Filename

984829