A new adaptive polarization-space-time domain radar target detection algorithm for nonhomogeneous clutter environments

Hyung Rae Park, Yeon Sil Yang, Hong Wang

Research output: Chapter in Book/Entry/PoemConference contribution

2 Scopus citations

Abstract

A new adaptive radar target detection algorithm, called the polarization-space-time localized generalized likelihood ratio (PSTL-GLR) test shall be exploited, which is of significant use in nonhomogeneous clutter environments. The key idea of the PSTL-GLR algorithm is that the degree of freedom (DOF) is controlled to avoid a serious detection loss due to limited secondary data vectors by transforming the data from space-time domain to angle-Doppler domain, while maintaining high performance of the joint polarization-space-time processing. The detection performance of the proposed algorithm is derived analytically in terms of the probabilities of detection and false alarm, along with numerical evaluation to illustrate its efficiency in limited secondary data environments.

Original languageEnglish (US)
Title of host publicationProceedings - 7th International Symposium on Signal Processing and Its Applications, ISSPA 2003
PublisherIEEE Computer Society
Pages333-336
Number of pages4
ISBN (Print)0780379462, 9780780379466
DOIs
StatePublished - 2003
Event7th International Symposium on Signal Processing and Its Applications, ISSPA 2003 - Paris, France
Duration: Jul 1 2003Jul 4 2003

Publication series

NameProceedings - 7th International Symposium on Signal Processing and Its Applications, ISSPA 2003
Volume1

Other

Other7th International Symposium on Signal Processing and Its Applications, ISSPA 2003
Country/TerritoryFrance
CityParis
Period7/1/037/4/03

ASJC Scopus subject areas

  • Signal Processing

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