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
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;
Journal_Title :
Aerospace and Electronic Systems, IEEE Transactions on
DOI :
10.1109/TAES.2014.130683
