Small Target Detection in Sea Clutter Based on Doppler Spectrum Features

Author

Wang, Xue ; Liu, Jin ; Liu, Hongwei

Author_Institution

Nat. Lab. of Radar Signal Process., Xidian Univ., Xi´´an

fYear

2006

fDate

16-19 Oct. 2006

Firstpage

1

Lastpage

4

Abstract

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

Keywords

Bayes methods; Doppler radar; entropy; feature extraction; radar clutter; radar detection; radar signal processing; spectral analysis; Bayesian detection algorithm; Canada; Doppler spectrum; McMaster IPIX radar; Rayleigh distribution model; entropy feature extraction; feature detection algorithm; radar signal processing; sea clutter; target detection; Algorithm design and analysis; Bayesian methods; Clutter; Computer vision; Detection algorithms; Entropy; Object detection; Radar signal processing; Signal analysis; Signal processing algorithms; Doppler spectrum; sea clutter; target detection;

fLanguage

English

Publisher

ieee

Conference_Titel

Radar, 2006. CIE '06. International Conference on

Conference_Location

Shanghai

Print_ISBN

0-7803-9582-4

Electronic_ISBN

0-7803-9583-2

Type

conf

DOI

10.1109/ICR.2006.343355

Filename

4148430