DocumentCode
1544610
Title
An analysis of the shadow feature technique in radar detection
Author
Leung, S.W. ; Minett, James W. ; Chung, C.F.
Author_Institution
Dept. of Electron. Eng., City Univ. of Hong Kong, Kowloon, Hong Kong
Volume
35
Issue
3
fYear
1999
fDate
7/1/1999 12:00:00 AM
Firstpage
1104
Lastpage
1106
Abstract
Good target detection can be achieved by using shadow feature algorithms, particularly in heavy clutter environments. The performance enhancement of a shadow feature algorithm applied to a maximum likelihood constant false-alarm rate (ML-CFAR) detector is analyzed. Results show that detection performance is significantly improved
Keywords
Weibull distribution; maximum likelihood detection; radar clutter; radar detection; Rayleigh target model; Weibull clutter; conditional probability concept; heavy clutter environments; maximum likelihood CFAR detector; performance enhancement; radar detection; shadow feature algorithms; target detection; Algorithm design and analysis; Clutter; Computer vision; Detectors; Maximum likelihood detection; Object detection; Performance analysis; Radar detection; Testing; Thyristors;
fLanguage
English
Journal_Title
Aerospace and Electronic Systems, IEEE Transactions on
Publisher
ieee
ISSN
0018-9251
Type
jour
DOI
10.1109/7.784078
Filename
784078
Link To Document