Target velocity estimation and CRB with distributed MIMO radar in non-homogeneous AR-modeled disturbances

Pu Wang, Hongbin Li, Braham Himed

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

3 Scopus citations

Abstract

In this paper, we examine the target velocity estimation with distributed multi-input multi-output (MIMO) radars in non-homogeneous environments, where the disturbance signal (clutter and noise) exhibits non-homogeneity in not only power but also covariance structure from one transmit-receive antenna pair to another as well as across different test cells. Specifically, a set of distinctive auto-regressive (AR) models are used to model such non-homogeneous disturbance signals for different transmit-receive pairs. The maximum likelihood (ML) estimator for the target velocity parameter is developed. Corresponding Cramér-Rao bounds, in both the exact and asymptotic forms, respectively, are examined to shed additional light to the problem. Numerical results are presented to demonstrate of the effectiveness of the proposed method.

Original languageEnglish
Title of host publication2012 13th International Radar Symposium, IRS-2012
Pages109-112
Number of pages4
DOIs
StatePublished - 2012
Event2012 13th International Radar Symposium, IRS-2012 - Warsaw, Poland
Duration: 23 May 201225 May 2012

Publication series

NameProceedings International Radar Symposium
ISSN (Print)2155-5753

Conference

Conference2012 13th International Radar Symposium, IRS-2012
Country/TerritoryPoland
CityWarsaw
Period23/05/1225/05/12

Keywords

  • Distributed MIMO radar
  • auto-regressive model
  • maximum likelihood estimation
  • target velocity estimation

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