ML based monopulse bearing estimation for adaptive phased array radar

Michael D. Zoltowski*, Ta-Sung Lee

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Several adaptive interference cancellation schemes are developed based on the minimum noise variance criterion and the constrained least-squares criterion for the beamspace domain ML method in low-angle radar tracking. Three beams are constructed adaptively with their nulls formed in prescribed directions. The common nulls property associated with the M × 3 Butler matrix beamformer is incorporated, so as to facilitate a simple, closed-form beamspace domain estimation procedure. It is shown that a set of three mutually orthogonal adaptive beamforming weight vectors can be constructed as the solution to the Procrustes rotation problem.

Original languageEnglish
Title of host publicationConference Record - Asilomar Conference on Circuits, Systems & Computers
EditorsRay R. Chen
PublisherPubl by Maple Press, Inc
Pages390-394
Number of pages5
ISBN (Print)0929029301
DOIs
StatePublished - 1 Dec 1989
EventTwenty-Third Annual Asilomar Conference on Signals, Systems & Computers - Pacific Grove, CA, USA
Duration: 30 Oct 19891 Nov 1989

Publication series

NameConference Record - Asilomar Conference on Circuits, Systems & Computers
Volume1
ISSN (Print)0736-5861

Conference

ConferenceTwenty-Third Annual Asilomar Conference on Signals, Systems & Computers
CityPacific Grove, CA, USA
Period30/10/891/11/89

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    Zoltowski, M. D., & Lee, T-S. (1989). ML based monopulse bearing estimation for adaptive phased array radar. In R. R. Chen (Ed.), Conference Record - Asilomar Conference on Circuits, Systems & Computers (pp. 390-394). (Conference Record - Asilomar Conference on Circuits, Systems & Computers; Vol. 1). Publ by Maple Press, Inc. https://doi.org/10.1109/ACSSC.1989.1200819