Multichannel space-time adaptive processing

S. U. Pillai, W. C. Lee, J. Guerci

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

Abstract

A new recursive processing technique for space-time adaptive processing(STAP) is developed and applied to the airborne MTI radar problem. Unlike the conventional approach, the expanding block structure of the covariance matrix is exploited here for updating the covariance matrix inverse as each pulse is received. The resulting Block Augmented Matrix(BAM) inversion algorithm results in significant computational throughput gain. Further, the residual information in the incoming pulse is used to generate an adaptive stopping criterion that addresses the sample data support problem.

Original languageEnglish (US)
Title of host publicationConference Record of the 29th Asilomar Conference on Signals, Systems and Computers, ACSSC 1995
EditorsAvtar Singh
PublisherIEEE Computer Society
Pages1183-1186
Number of pages4
ISBN (Electronic)0818673702
DOIs
StatePublished - Jan 1 1995
Event29th Asilomar Conference on Signals, Systems and Computers, ACSSC 1995 - Pacific Grove, United States
Duration: Oct 30 1995Nov 1 1995

Publication series

NameConference Record - Asilomar Conference on Signals, Systems and Computers
Volume2
ISSN (Print)1058-6393

Conference

Conference29th Asilomar Conference on Signals, Systems and Computers, ACSSC 1995
CountryUnited States
CityPacific Grove
Period10/30/9511/1/95

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ASJC Scopus subject areas

  • Signal Processing
  • Computer Networks and Communications

Cite this

Pillai, S. U., Lee, W. C., & Guerci, J. (1995). Multichannel space-time adaptive processing. In A. Singh (Ed.), Conference Record of the 29th Asilomar Conference on Signals, Systems and Computers, ACSSC 1995 (pp. 1183-1186). [540886] (Conference Record - Asilomar Conference on Signals, Systems and Computers; Vol. 2). IEEE Computer Society. https://doi.org/10.1109/ACSSC.1995.540886