Small Target Detection in Sea Clutter Based on Doppler Spectrum Features

Small target detection in sea clutter is a challenge problem in radar signal processing community. Based on the analysis of sea clutter Doppler spectrum characteristics, two target detection algorithms are proposed, namely, a Bayesian detection algorithm based on joint Rayleigh distribution model an...

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Bibliographic Details
Published inProceedings of 2006 CIE International Conference on Radar : Oct. 16-19, 2006, Shanghai, China : RADAR 2006 pp. 1 - 4
Main Authors Xue Wang, Jin Liu, Hongwei Liu
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2006
Subjects
Algorithm design and analysis
Bayesian methods
Clutter
Computer vision
Detection algorithms
Doppler spectrum
Entropy
Object detection
Radar signal processing
sea clutter
Signal analysis
Signal processing algorithms
target detection
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ISBN0780395824
9780780395824
DOI10.1109/ICR.2006.343355

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Summary:Small target detection in sea clutter is a challenge problem in radar signal processing community. Based on the analysis of sea clutter Doppler spectrum characteristics, two target detection algorithms are proposed, namely, a Bayesian detection algorithm based on joint Rayleigh distribution model and a feature detection algorithm based on the entropy feature extracted from signal's Doppler spectrum. The detection performances of the proposed algorithms are evaluated based on the data collected by the McMaster IPIX radar at the east coast of Canada
ISBN:0780395824
9780780395824
DOI:10.1109/ICR.2006.343355