Target Detection using Polarimetric Distributed MIMO Radar in Heterogeneous Compound-Gaussian Clutter

Zhiwen Liu, Yang Yang, Yan Xiang, Kang Zhao, Shuli Shi, Yougen Xu

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

Abstract

A polarimetric distributed MIMO radar detector in heterogeneous compound Gaussian clutter is proposed. Based on the modified signal model of the polarimetric distributed MIMO radar, the inverse Gamma distribution assumption on the clutter texture and the complex inverse Wishart distribution assumption on the speckle clutter covariance matrix, the secondary data is used to obtain the maximum posteriori estimation of the texture so as to avoid the integral operation in test statistic. The Bayesian knowledge-aided polarimetric generalized likelihood ratio detector is then acquired. Simulation results show that the proposed detector has a better detection performance than the existing detector.

Original languageEnglish
Title of host publicationICDSP 2020 - 2020 4th International Conference on Digital Signal Processing, Proceedings
PublisherAssociation for Computing Machinery
Pages363-368
Number of pages6
ISBN (Electronic)9781450376877
DOIs
Publication statusPublished - 19 Jun 2020
Event4th International Conference on Digital Signal Processing, ICDSP 2020 - Virtual, Online, China
Duration: 19 Jun 202021 Jun 2020

Publication series

NameACM International Conference Proceeding Series

Conference

Conference4th International Conference on Digital Signal Processing, ICDSP 2020
Country/TerritoryChina
CityVirtual, Online
Period19/06/2021/06/20

Keywords

  • Bayesian
  • Polarization
  • distributed MIMO radar
  • heterogeneous clutter

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