Systolic preprocessors for linearly constrained beamforming

Author

Van Veen, Barry

Author_Institution

Dept. of Electr. & Comput. Eng., Wisconsin Univ., Madison, WI, USA

Volume

37

Issue

4

fYear

1989

fDate

4/1/1989 12:00:00 AM

Firstpage

600

Lastpage

604

Abstract

Systolic preprocessors for linearly constrained beamforming are developed using factorizations of the generalized sidelobe canceller. These preprocessors transform linearly constrained beamformers into unconstrained form, which permits unconstrained adaptive processors to be used for computing the beamformer output. Two preprocessors are developed for small numbers of constraints relative to the data dimension, and two for partially adaptive beamforming where the number of effective constraints is often large relative to the data dimension. All four preprocessors are applicable to arbitrary constraint sets. Tradeoffs between the various preprocessors are discussed

Keywords

antenna arrays; antenna theory; cellular arrays; computerised signal processing; antenna arrays; arbitrary constraint sets; linearly constrained beamforming; partially adaptive beamforming; sidelobe canceller; systolic preprocessors; unconstrained adaptive processors; Acoustics; Array signal processing; Convergence of numerical methods; Equations; Frequency; Least squares approximation; Least squares methods; Military computing; Speech processing; Systolic arrays;

fLanguage

English

Journal_Title

Acoustics, Speech and Signal Processing, IEEE Transactions on

Publisher

ieee

ISSN

0096-3518

Type

jour

DOI

10.1109/29.17549

Filename

17549