A comparsion of two non-homogeneity detection methods for space-time adaptive processing

Muralidhar Rangaswamy, Pinyuen Chen, James H. Michels, Braham Himed

Research output: Chapter in Book/Entry/PoemConference contribution

9 Scopus citations

Abstract

This paper undertakes a comparison of two nonhomogeneity detection (NHD) methods and addresses their impact on the performance of the adaptive matched filter (AMF) method and the normalized adaptive matched filter (NAMF) method in severely non-homogeneous clutter scenarios. Performance analysis is carried out using simulated data as well as measured data from the MCARM Program. Specific consideration is given to the computational cost of the NHD method and the sample support requirements. This paper presents a technique for speeding up the computations in the NHD. Performance is reported in terms of the probability of detection versus signal-to-noise-ratio (SNR) for simulated data analyses.

Original languageEnglish (US)
Title of host publication2002 IEEE Sensor Array and Multichannel Signal Processing Workshop Proceedings, SAME 2002
PublisherIEEE Computer Society
Pages355-359
Number of pages5
ISBN (Electronic)0780375513
DOIs
StatePublished - 2002
EventIEEE Sensor Array and Multichannel Signal Processing Workshop, SAME 2002 - Rosslyn, United States
Duration: Aug 4 2002Aug 6 2002

Publication series

NameProceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop
Volume2002-January
ISSN (Electronic)2151-870X

Other

OtherIEEE Sensor Array and Multichannel Signal Processing Workshop, SAME 2002
Country/TerritoryUnited States
CityRosslyn
Period8/4/028/6/02

ASJC Scopus subject areas

  • Signal Processing
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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