Application of conjugate gradient algorithm to adaptive beamforming

Author

Tang Jun ; Peng Yingning ; Wang Xiqin

Author_Institution

Dept. of Electron. Eng., Tsinghua Univ., Beijing, China

Volume

2

fYear

1999

fDate

11-16 July 1999

Firstpage

1460

Abstract

In this paper, the relationship of subarray size, snapshot number and interference number is studied for different gradient computing methods. New forward and backward CGM (FBCGM) and multilayer FBCGM (MFBCGM) methods are proposed. Their advantages are summarized as follows: (1) they can be applied with a small number of snapshots. (2) They can be applied with a weaker constraint for the number of the array elements than that Mandyam (1997). (3) They perform well in coherent receiving environments. (4) They have less computational load compared to SMI and the subspace projection method.

Keywords

antenna arrays; antenna theory; array signal processing; computational complexity; conjugate gradient methods; FBCGM; MFBCGM; adaptive beamforming; array elements; coherent receiving environments; computational load; conjugate gradient algorithm; forward and backward CGM; gradient computing methods; interference number; multilayer FBCGM; snapshot number; subarray size; Adaptive arrays; Array signal processing; Computational complexity; Convergence; Covariance matrix; Equations; Gradient methods; Resonance light scattering; Subspace constraints; User-generated content;

fLanguage

English

Publisher

ieee

Conference_Titel

Antennas and Propagation Society International Symposium, 1999. IEEE

Conference_Location

Orlando, FL, USA

Print_ISBN

0-7803-5639-x

Type

conf

DOI

10.1109/APS.1999.789590

Filename

789590