A soft constrained generalized sidelobe canceller

Author

Ye, Hao ; DeGroat, Ronald D.

Author_Institution

Erik Jonsson Sch. of Eng. & Comput. Sci., Texas Univ., Richardson, TX, USA

fYear

1991

fDate

4-6 Nov 1991

Firstpage

227

Abstract

An efficient new beamforming structure similar to a generalized sidelobe canceller is derived from the soft constrained minimum variance (SCMV) method of B. Van Veen (see IEEE Trans. Signal Processing, vol.SP-39, no.9, 1991). The new structure is closely related to the generalized sidelobe canceller and is a direct modification and simplification of Van Veen´s general algorithm. The main advantage of the new algorithm is that it greatly reduces the computational load of the SCMV method. Another advantage is that the new structure reveals a simple relationship between SCMV and linearly constrained minimum variance beamforming

Keywords

signal processing; beamforming structure; generalized sidelobe canceller; linearly constrained minimum variance beamforming; signal processing; soft constrained minimum variance method; Adaptive algorithm; Array signal processing; Computer science; Direction of arrival estimation; Distortion; Instruments; Interference constraints; Power generation; Sensor arrays; Signal to noise ratio;

fLanguage

English

Publisher

ieee

Conference_Titel

Signals, Systems and Computers, 1991. 1991 Conference Record of the Twenty-Fifth Asilomar Conference on

Conference_Location

Pacific Grove, CA

ISSN

1058-6393

Print_ISBN

0-8186-2470-1

Type

conf

DOI

10.1109/ACSSC.1991.186446

Filename

186446