DocumentCode :
3348765
Title :
Small ship detection with high frequency radar using an adaptive ocean clutter pre-whitened subspace method
Author :
Wang, Jian ; Kirlin, R. Lynn ; Lu, Xiaoli ; Dizaji, Reza
Author_Institution :
Dept. of Electr. & Comput. Eng., Victoria Univ., BC, Canada
fYear :
2002
fDate :
4-6 Aug. 2002
Firstpage :
92
Lastpage :
95
Abstract :
We propose a novel scheme for using high frequency ocean surveillance radar (HFOSR) to detect slow weak target echoes embedded in temporally correlated sea clutter having a continuous spectrum. General Doppler processing CFAR detection of ships in ocean surveillance radar is usually inhibited by the continuous high order sea clutter. Conventional subspace methods can be utilized to enhance the detection, but they deteriorate dramatically in the presence of correlated sea clutter. In our paper an adaptive sea clutter filtering is introduced which improves the threshold and accuracy of the subspace detection method. Both simulated and real ship targets are used to verify the effectiveness of our proposed method.
Keywords :
adaptive filters; adaptive signal detection; correlation methods; filtering theory; radar clutter; radar detection; search radar; ships; CFAR detection; Doppler processing; HF radar; HFOSR; adaptive ocean clutter pre-whitened subspace method; adaptive sea clutter filtering; continuous spectrum; correlated sea clutter; high frequency ocean surveillance radar; high order sea clutter; real ship targets; simulated ship targets; slow weak target echoes detection; small ship detection; subspace detection method accuracy; subspace detection method threshold; temporally correlated sea clutter; Doppler radar; Frequency; Marine vehicles; Oceans; Radar clutter; Radar detection; Radar scattering; Radar tracking; Sea surface; Surveillance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Sensor Array and Multichannel Signal Processing Workshop Proceedings, 2002
Print_ISBN :
0-7803-7551-3
Type :
conf
DOI :
10.1109/SAM.2002.1191006
Filename :
1191006
Link To Document :
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