A new GSC based MVDR beamformer with CSLMS algorithm for adaptive weights optimization

Author

Shao, Wei ; Wang, Wei-cheng

Author_Institution

Inst. of Commun. Eng., PLA Univ. of Sci. & Technol., Nanjing, China

Volume

5

fYear

2011

fDate

15-17 Oct. 2011

Firstpage

2299

Lastpage

2302

Abstract

A new generalized sidelobe canceller (GSC) based minimum variance distortionless response (MVDR) beamformer is proposed in this paper, which applies constrained stability least mean squares (CS-LMS) algorithm for adaptive weights optimization. With a different recursive formula, CS-LMS algorithm is more flexible than normal LMS algorithm. Then, this algorithm is introduced into GSC based MVDR beamformer. As a result, a good signal of interest (SOI) extraction and interferences nulling performance is obtained. Simulation experiments show the merits of the proposed beamformer against the other two, GSC based MVDR beamformer with LMS algorithm and fully adaptive MVDR beamformer.

Keywords

array signal processing; interference suppression; least mean squares methods; optimisation; GSC based MVDR beamformer; adaptive weights optimization; constrained stability least mean squares algorithm; generalized sidelobe canceller; interferences nulling performance; minimum variance distortionless response beamformer; signal of interest extraction; Adaptation models; Algorithm design and analysis; Array signal processing; Arrays; Least squares approximation; Signal processing algorithms; Vectors; CS-LMS algorithm; GSC; LMS algorithm; MVDR;

fLanguage

English

Publisher

ieee

Conference_Titel

Image and Signal Processing (CISP), 2011 4th International Congress on

Conference_Location

Shanghai

Print_ISBN

978-1-4244-9304-3

Type

conf

DOI

10.1109/CISP.2011.6100761

Filename

6100761