A GLRT for radar detection in the presence of noise compound-Gaussian clutter and additive white Gaussian

Bin Liu, Biao Chen, James H. Michels

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

9 Scopus citations

Abstract

This paper addresses the detection problem for a signal with constant, but unknown amplitude in disturbance containing compound-Gaussian clutter plus additive white noise. Specifically, a new generalized likelihood ratio test (GLRT) is presented for the clairvoyant case. Previously developed GLRT expressions addressing the compound-Gaussian clutter problem have considered the 'clutter only' case assuming negligible additive white noise power. Performance evaluation is considered in the context of space-time adaptive processing (STAP) for an airborne radar application. We show improved performance of the new GLRT over previously developed tests.

Original languageEnglish (US)
Title of host publication2002 IEEE Sensor Array and Multichannel Signal Processing Workshop Proceedings, SAME 2002
PublisherIEEE Computer Society
Pages87-91
Number of pages5
ISBN (Electronic)0780375513
DOIs
StatePublished - Jan 1 2002
EventIEEE Sensor Array and Multichannel Signal Processing Workshop, SAME 2002 - Rosslyn, United States
Duration: Aug 4 2002Aug 6 2002

Publication series

NameProceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop
Volume2002-January
ISSN (Electronic)2151-870X

Other

OtherIEEE Sensor Array and Multichannel Signal Processing Workshop, SAME 2002
CountryUnited States
CityRosslyn
Period8/4/028/6/02

ASJC Scopus subject areas

  • Signal Processing
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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    Liu, B., Chen, B., & Michels, J. H. (2002). A GLRT for radar detection in the presence of noise compound-Gaussian clutter and additive white Gaussian. In 2002 IEEE Sensor Array and Multichannel Signal Processing Workshop Proceedings, SAME 2002 (pp. 87-91). [1191005] (Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop; Vol. 2002-January). IEEE Computer Society. https://doi.org/10.1109/SAM.2002.1191005