DocumentCode :
1158259
Title :
Application of the radon transform to detect small-targets in sea clutter
Author :
Carretero-Moya, J. ; Gismero-Menoyo, J. ; Asensio-Lopez, A. ; Blanco-del-Campo, A.
Author_Institution :
Dept. de Senales, Sist. y Radiocomun., Univ. Politec. de Madrid, Madrid
Volume :
3
Issue :
2
fYear :
2009
fDate :
4/1/2009 12:00:00 AM
Firstpage :
155
Lastpage :
166
Abstract :
The authors present a novel and heuristic approach for the detection of low radar cross-section targets in high-resolution sea clutter. The proposed technique is based on the application of the Radon transform to range-time matrices formed by column-wise storage of consecutive range profiles. The objective of this paper is 2-fold: to analyse the effect of the transform on real high-resolution sea clutter and to describe a detection scheme based on the insight obtained. The proposed technique emulates the behaviour of traditional motion target detection algorithms without the need for reliable Doppler information. It also constitutes a powerful non-coherent integration strategy of the target-s energy along its specific path on the range-time plot. The performance of the detection technique has been tested against real high-resolution sea clutter data, acquired at the south coast of Spain with an in-house developed continuous wave linear frequency modulated millimetre-wave radar system. Monte Carlo simulations show a significant improvement over the conventional cell averaging constant false alarm rate schemes.
Keywords :
CW radar; FM radar; Monte Carlo methods; Radon transforms; marine radar; millimetre wave devices; object detection; radar clutter; radar cross-sections; radar detection; radar resolution; radar theory; Monte Carlo simulation; Radon transform; Spain; continuous wave linear frequency modulated radar; high-resolution sea clutter; maritime radar; millimetre-wave radar system; motion target detection algorithm; radar cross-section; range-time matrix;
fLanguage :
English
Journal_Title :
Radar, Sonar & Navigation, IET
Publisher :
iet
ISSN :
1751-8784
Type :
jour
DOI :
10.1049/iet-rsn:20080123
Filename :
4782979
Link To Document :
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