DocumentCode
7360
Title
Fuzzy statistical normalization CFAR detector for non-rayleigh data
Author
Yanwei Xu ; Chaohuan Hou ; Shefeng Yan ; Jun Li ; Chengpeng Hao
Author_Institution
Inst. of Acoust., Beijing, China
Volume
51
Issue
1
fYear
2015
fDate
Jan-15
Firstpage
383
Lastpage
396
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.
Keywords
fuzzy set theory; radar detection; radar signal processing; sonar detection; sonar signal processing; statistical analysis; background level estimation; constant false-alarm rate detector; defuzzification normalized data; fuzzy statistical normalization CFAR processor; nonRayleigh radar data; nonRayleigh sonar data; signal detection; Clutter; Detectors; Noise; Radar; Reverberation; Shape; Sonar;
fLanguage
English
Journal_Title
Aerospace and Electronic Systems, IEEE Transactions on
Publisher
ieee
ISSN
0018-9251
Type
jour
DOI
10.1109/TAES.2014.130683
Filename
7073499
Link To Document