NDLI: Performance Analysis of Distributed Fuzzy CA-CFAR Detector in Pearson Distributed Clutter

Content Provider	IEEE Xplore Digital Library
Author	Long Cai Xiaochuan Ma Chengpeng Hao Xiaoguang Yang
Copyright Year	2009
Abstract	In order to improve the radar’s detection performance under Pearson distributed background clutter, the problem of designing CA-CFAR detector based on fuzzy logic is studied in this paper. A kind of distributed fuzzy CA-CFAR detection scheme including two detectors is proposed here. Two detectors compute the values of the membership function to the false alarm space from the samples of the reference cells, in the fusion centre two values are combined according to four kinds of fuzzy fusion rule to produce a global member function to estimate the background clutter power for decision. The simulation results indicate that the fuzzy CA-CFAR detector based on algebraic sum fusion rule provides more robust detection performance than conventional distributed CA CFAR based on AND or OR logic.
Starting Page	491
Ending Page	495
File Size	364988
Page Count	5
File Format	PDF
ISBN	9780769537351
DOI	10.1109/FSKD.2009.627
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-08-14
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Maximum likelihood detection detection clutter Acoustic signal detection sonar CFAR Background noise Clutter Noise level Fuzzy logic radar pearson Radar detection Detectors Performance analysis Fuzzy systems
Content Type	Text
Resource Type	Article

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