Adaptive polarimetry design for a target in compound-Gaussian clutter

Jian Wang, Arye Nehorai

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

11 Scopus citations

Abstract

We develop optimal adaptive design of radar waveform polarizations for a target in compound-Gaussian clutter. We present the maximum likelihood (ML) estimates of the target's scattering matrix and clutter parameters using a parameter-expanded expectation-maximization (PX-EM) algorithm. We compute the Cramer-Rao bound (CRB) on the target's scattering matrix and use it as the optimization cost function. We illustrate the performance of our algorithm and compare it with traditional ones through numerical examples.

Original languageEnglish
Title of host publication2006 International Waveform Diversity and Design Conference, WDD 2006 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-5
Number of pages5
ISBN (Electronic)9781538648483
DOIs
StatePublished - Mar 21 2006
Event2nd International Waveform Diversity and Design Conference, WDD 2006 - Lihue, United States
Duration: Jan 22 2006Jan 27 2006

Publication series

Name2006 International Waveform Diversity and Design Conference, WDD 2006 - Proceedings
Volume2018-January

Conference

Conference2nd International Waveform Diversity and Design Conference, WDD 2006
Country/TerritoryUnited States
CityLihue
Period01/22/0601/27/06

Keywords

  • Cramer-Rao bound
  • Waveform design
  • compound-Gaussian clutter
  • polarized signals

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