Moving target detection for distributed MIMO radar with imperfect waveform separation

Pu Wang, Hongbin Li, Braham Himed

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

In this paper, we consider the problem of detecting a moving target with a distributed multiple-input multiple-output (MIMO) radar when perfect waveform separations at the local receivers are no longer valid. By formulating a composite hypothesis testing problem with a subspace modeling of the target residual, the generalized likelihood ratio test (GLRT) is developed by deriving the maximum likelihood (ML) estimates of the unknown parameters. Simulation results are provided to compare the proposed GLRT solution with existing MIMO detectors that do not account for target residuals.

Original languageEnglish
Title of host publicationIEEE Radar Conference 2013
Subtitle of host publication"The Arctic - The New Frontier", RadarCon 2013
DOIs
StatePublished - 2013
Event2013 IEEE Radar Conference: "The Arctic - The New Frontier", RadarCon 2013 - Ottawa, ON, Canada
Duration: 29 Apr 20133 May 2013

Publication series

NameIEEE National Radar Conference - Proceedings
ISSN (Print)1097-5659

Conference

Conference2013 IEEE Radar Conference: "The Arctic - The New Frontier", RadarCon 2013
Country/TerritoryCanada
CityOttawa, ON
Period29/04/133/05/13

Keywords

  • Distributed MIMO radar
  • generalized likelihood ratio test
  • hypothesis testing
  • moving target detection

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