DocumentCode :
3326646
Title :
Fuzzy statistical normalization for target detection in active sensing data
Author :
Yanwei Xu ; Chaohuan Hou ; Shefeng Yan ; Jun Li
Author_Institution :
Inst. of Acoust., Beijing, China
fYear :
2013
fDate :
23-24 Dec. 2013
Firstpage :
932
Lastpage :
935
Abstract :
A fuzzy statistical normalization for target detection in active sensing data is proposed in this paper. The first stage of the fuzzy statistical normalization is the Fuzzification of the active sensing data. Then the fuzzy inference and defuzzification operation based on statistical method and alpha-cut approach are performed, which not only attenuate the heavier tailed clutter data values, but also enlarge the lower shadow area noise data values. The constant false alarm rate (CFAR) detector based on fuzzy statistical normalization firstly estimates the background level with the normalized data, and then detects the target signal with the original active sensing data based on the estimated background level. Performance comparison between the proposed CFAR detector with outlier rejection based on fuzzy statistical normalization and the conventional CFAR detectors is carried out to validate the superiority of the proposed fuzzy statistical normalization in CFAR detection. The results show that the CFAR detector with fuzzy statistical normalization is robust.
Keywords :
fuzzy reasoning; fuzzy set theory; normal distribution; signal detection; CFAR detection; active sensing data; alpha-cut approach; clutter data values; constant false alarm rate detector; conventional CFAR detector; defuzzification operation; estimated background level; fuzzy inference; fuzzy statistical normalization; lower shadow area noise data values; normalized data; outlier rejection; performance comparison; statistical method; target detection; target signal detection; Clutter; Detectors; Equations; Noise; Reverberation; Sonar; CFAR Detection; Fuzzy Statistical Normalization; defuzzification; fuzzy inference;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Instrumentation and Measurement, Sensor Network and Automation (IMSNA), 2013 2nd International Symposium on
Conference_Location :
Toronto, ON
Type :
conf
DOI :
10.1109/IMSNA.2013.6743431
Filename :
6743431
Link To Document :
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