Fuzzy statistical normalization CFAR detector for non-Rayleigh data

Yanwei Xu, Chaohuan Hou, Shefeng Yan, Jun Li, Chengpeng Hao

Research output: Contribution to journalArticlepeer-review

25 Citations (Scopus)

Abstract

A new constant false-alarm rate (CFAR) detector for non-Rayleigh data, based on fuzzy statistical normalization, is proposed. The proposed detector carries out the detection with two stages. The first stage of the fuzzy statistical normalization CFAR processor is background level estimation, based on fuzzy statistical normalization. The second stage is signal detection, based on the original data and the defuzzification normalized data. Performance comparisons are carried out to validate the superiority of the proposed CFAR detector.

Original languageEnglish
Article number7073499
Pages (from-to)383-396
Number of pages14
JournalIEEE Transactions on Aerospace and Electronic Systems
Volume51
Issue number1
DOIs
Publication statusPublished - 1 Jan 2015
Externally publishedYes

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