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PIER PIER B PIER C PIER M PIER Letters PIER Photonics
2017-03-02
Mixed Signal-Based GLR Detector for FM Passive Bistatic Radar Target Detection
By
Mohammad Zamani,

    Dr. Mohammad Zamani

    Department of Communications and Electronics, School of Electrical and Computer Engineering

    Shiraz University

    Iran

    Homepage

Abbas Sheikhi

    Dr. Abbas Sheikhi

    Department of Communications and Electronics, School of Electrical and Computer Engineering

    Shiraz University

    Iran

    Homepage

Progress In Electromagnetics Research M, Vol. 55, 37-49, 2017
doi:10.2528/PIERM16122501 | Google Scholar

Abstract
This paper addresses the CFAR target detection in FM-based passive bistatic radars as a composite hypothesis testing problem, using the mixed signal model. The corresponding generalized likelihood ratio test (GLRT) is derived. It has less computational requirements with respect to the conventional GLRT-based detector, previously developed in the literature, due to the decrease in the row dimension of the interference matrix. The proposed detector is computationally efficient for tracking or short-range-radar applications in which a few range cells are surveyed. The theoretical and simulation-based analysis of detection performances and a thorough discussion on the computational complexity compared with that of the existing detectors are also provided.
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Citation
Mohammad Zamani, and Abbas Sheikhi, "Mixed Signal-Based GLR Detector for FM Passive Bistatic Radar Target Detection," Progress In Electromagnetics Research M, Vol. 55, 37-49, 2017.
doi:10.2528/PIERM16122501
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