DocumentCode
869550
Title
A new and robust CFAR detection algorithm
Author
Anastassopoulos, Vassilis ; Lampropoulos, George
Author_Institution
A.U.G. Signals Ltd., Toronto, Ont., Canada
Volume
28
Issue
2
fYear
1992
fDate
4/1/1992 12:00:00 AM
Firstpage
420
Lastpage
427
Abstract
A constant false alarm rate (CFAR) detection method which is based on a combination of median and morphological filters (MEMO) is proposed. The MEMO algorithm has robust performance with small CFAR loss, very good behavior at clutter edges and high detection performance in the case of closely spaced narrowband signals (targets). The proposed MEMO method is favourably compared with cell averaging (CA) and ordered statistics (OS) CFAR detectors. The Monte Carlo method is employed to analyze the MEMO-CFAR detector
Keywords
Monte Carlo methods; filtering and prediction theory; radar clutter; signal detection; CFAR detection algorithm; Monte Carlo method; cell averaging; clutter edges; constant false alarm rate; median and morphological filters; ordered statistics; signal detection; Algorithm design and analysis; Clutter; Detection algorithms; Detectors; Filters; Performance analysis; Performance loss; Robustness; Statistical distributions; Statistics;
fLanguage
English
Journal_Title
Aerospace and Electronic Systems, IEEE Transactions on
Publisher
ieee
ISSN
0018-9251
Type
jour
DOI
10.1109/7.144568
Filename
144568
Link To Document