Performance analysis of some new CFAR detectors under clutter

Long Cai*, Xiaochuan Ma, Qi Xu, Bin Li, Shiwei Ren

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

11 Citations (Scopus)

Abstract

In order to improve the radar's detection performance under Pearson distributed background clutter, the problem of designing CFAR detectors is studied in this paper. Three kinds of distributed fuzzy CA scheme and two kinds of OS scheme are proposed. The numerical simulations prove that CA CFAR detector based on algebraic sum fusion rule provides more robust detection performance in homogenous background clutter, CASO based on algebraic-sum rule shows detection improvement in multi-target environment, CAGO based on MIN rule provides better false-alarm-control capacity under clutteredge condition, and OSSO CFAR offers better detection performance than OS CFAR in multiple interrupt-target situation.

Original languageEnglish
Pages (from-to)1278-1285
Number of pages8
JournalJournal of Computers (Finland)
Volume6
Issue number6
DOIs
Publication statusPublished - Jun 2011
Externally publishedYes

Keywords

  • CAGO
  • CASO
  • CFAR
  • Detection
  • Fuzzy
  • OS
  • Radar network

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