Title :
A new and robust CFAR detection algorithm
Author :
Anastassopoulos, Vassilis ; Lampropoulos, George
Author_Institution :
A.U.G. Signals Ltd., Toronto, Ont., Canada
fDate :
4/1/1992 12:00:00 AM
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;
Journal_Title :
Aerospace and Electronic Systems, IEEE Transactions on
