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Fuzzy statistical normalization CFAR detector for non-Rayleigh data

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A new 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.

Contact: 
Shefeng Yan

Field of Interest

“The field of interest shall be the organization, systems engineering, design, development, integration, and operation of complex systems for space, air, ocean, or ground environments. These systems include but are not limited to navigation, avionics, mobile electric power and electronics, radar, sonar, telemetry, military, law-enforcement, automatic test, simulators, and command and control."

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