Knowledge-Aided detection of range-spread target in distributed MIMO radar

Yongchan Gao, Hongbin Li, Braham Himed

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

Abstract

We examine the moving range-spread target in distributed multi-input multi-output (MIMO) radar. More precisely, a knowledge-Aided (KA) model for nonhomogenous disturbance is proposed. We model the covariance matrices for different transmit-receive (Tx-Rx) pairs as random matrices, which share the same matrix structure but with different power levels for the non-homogeneous clutter powers across different Tx-Rx pairs. Two detectors are proposed. The first is a KA generalized likelihood ratio test (GLRT) without range training. The second is an ad-doc KA GLRT with range training. Computer simulations and analyses show the performance improvements offered by the proposed detectors in heterogeneous scenarios..

Original languageEnglish
Title of host publication2017 18th International Radar Symposium, IRS 2017
EditorsHermann Rohling
ISBN (Electronic)9783736993433
DOIs
StatePublished - 10 Aug 2017
Event18th International Radar Symposium, IRS 2017 - Prague, Czech Republic
Duration: 28 Jun 201730 Jun 2017

Publication series

NameProceedings International Radar Symposium
ISSN (Print)2155-5753

Conference

Conference18th International Radar Symposium, IRS 2017
Country/TerritoryCzech Republic
CityPrague
Period28/06/1730/06/17

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