Title :
Estimating the length of a radar shadow in shadow-feature-enhanced detection using a fuzzy system
Author :
Minett, J.W. ; Leung, S.W. ; Siu, Y.M. ; Ng, K.T. ; Chau, W.N.
Author_Institution :
Dept. of Electron. Eng., City Univ. of Hong Kong, Kowloon, China
fDate :
6/23/1905 12:00:00 AM
Abstract :
Shadow-feature-enhanced radar detection algorithms potentially allow the probability of target detection to be substantially increased when a target casts a radar shadow across a region of clutter beyond it. However, when the length of the radar shadow is not correctly known, much of the potential performance gain may be lost. We demonstrate a method for estimating the length of the radar shadow using a simple fuzzy system. We apply the shadow length estimation to the shadow-feature-enhanced maximum-likelihood constant false alarm rate (ML-CFAR) detector, showing that its performance can be greatly improved when the shadow length is not known a priori
Keywords :
fuzzy systems; inference mechanisms; maximum likelihood estimation; probability; radar clutter; radar tracking; target tracking; clutter; fuzzy inference rules; fuzzy system; probability; radar shadow; shadow-feature-enhanced radar detection; target detection; Computer vision; Degradation; Detectors; Fuzzy systems; Object detection; Performance gain; Radar clutter; Radar detection; Radar imaging; Spaceborne radar;
Conference_Titel :
Fuzzy Systems, 2001. The 10th IEEE International Conference on
Conference_Location :
Melbourne, Vic.
Print_ISBN :
0-7803-7293-X
DOI :
10.1109/FUZZ.2001.1007260
