TY - JOUR
T1 - Fuzzy statistical normalization CFAR detector for non-Rayleigh data
AU - Xu, Yanwei
AU - Hou, Chaohuan
AU - Yan, Shefeng
AU - Li, Jun
AU - Hao, Chengpeng
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/1/1
Y1 - 2015/1/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84927710732&partnerID=8YFLogxK
U2 - 10.1109/TAES.2014.130683
DO - 10.1109/TAES.2014.130683
M3 - Article
AN - SCOPUS:84927710732
SN - 0018-9251
VL - 51
SP - 383
EP - 396
JO - IEEE Transactions on Aerospace and Electronic Systems
JF - IEEE Transactions on Aerospace and Electronic Systems
IS - 1
M1 - 7073499
ER -