Performance analysis of distributed fuzzy CA-CFAR detector in Pearson distributed clutter

  • Authors:
  • Long Cai;Xiaochuan Ma;Chengpeng Hao;Xiaoguang Yang

  • Affiliations:
  • Institute of Acoustics, Chinese Academy of Sciences, Beijing, China;Institute of Acoustics, Chinese Academy of Sciences, Beijing, China;Institute of Acoustics, Chinese Academy of Sciences, Beijing, China;Institute of Acoustics, Chinese Academy of Sciences, Beijing, China

  • Venue:
  • FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 4
  • Year:
  • 2009

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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.