Fuzzy statistical normalization CFAR detector for non-Rayleigh data

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

doi:10.1109/TAES.2014.130683

Fuzzy statistical normalization CFAR detector for non-Rayleigh data

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

CAS - Institute of Acoustics

Research output: Contribution to journal › Article › peer-review

27 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 language	English
Article number	7073499
Pages (from-to)	383-396
Number of pages	14
Journal	IEEE Transactions on Aerospace and Electronic Systems
Volume	51
Issue number	1
DOIs	https://doi.org/10.1109/TAES.2014.130683
Publication status	Published - 1 Jan 2015
Externally published	Yes

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Xu, Y., Hou, C., Yan, S., Li, J., & Hao, C. (2015). Fuzzy statistical normalization CFAR detector for non-Rayleigh data. IEEE Transactions on Aerospace and Electronic Systems, 51(1), 383-396. Article 7073499. https://doi.org/10.1109/TAES.2014.130683

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Fuzzy statistical normalization CFAR detector for non-Rayleigh data

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