Title :
Order Statistic and Maximum Likelihood Distributed CFAR Detectors in Weibull Background
Author :
Zaimbashi, A. ; Taban, M.R. ; Nayebi, M.M.
Author_Institution :
Yazd Univ., Yazd
Abstract :
Non-Rayleigh clutter statistics result when sea or ground are viewed with resolution radars (pulse width < 0.5 mus) at low grazing angle (phi < 5deg). In this paper, we consider the problem of maximum likelihood (ML) and order statistic (OS) constant false alarm rate in distributed detection systems using fuzzy fusion rules in Weibull clutter with a shape parameter known. We derive the appropriate membership functions for ML and OS as local detectors and use different fuzzy rules in fusion centre. Simulation for the "algebraic product", "algebraic sum", "union", "intersection" fuzzy fusion rules are conducted to assess the detection performance and the results are presented and discussed.
Keywords :
Weibull distribution; fuzzy systems; maximum likelihood detection; radar clutter; radar detection; Weibull clutter background; constant false alarm rate; distributed detection system; fuzzy fusion rule; maximum likelihood distributed CFAR detector; order statistics; Detectors; Fuzzy systems; Maximum likelihood detection; Radar clutter; Radar detection; Rayleigh channels; Sensor fusion; Sensor systems; Shape; Statistical distributions; ML-CFAR; OS-CFAR; distributed detection; fuzzy centre; fuzzy fusion;
Conference_Titel :
Radar Conference, 2007 IEEE
Conference_Location :
Boston, MA
Print_ISBN :
1-4244-0284-0
Electronic_ISBN :
1097-5659
DOI :
10.1109/RADAR.2007.374266