MIXED SIGNAL-BASED GLR DETECTOR FOR FM PASSIVE BISTATIC RADAR TARGET DETECTION | Zendy

Mohammad Ali Zamani | Zendy; Abbas Sheikhi | Zendy

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MIXED SIGNAL-BASED GLR DETECTOR FOR FM PASSIVE BISTATIC RADAR TARGET DETECTION

Author(s) -

Mohammad Ali Zamani,

Abbas Sheikhi

Publication year - 2017

Publication title -

progress in electromagnetics research m

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.216

H-Index - 31

ISSN - 1937-8726

DOI - 10.2528/pierm16122501

Subject(s) - passive radar , bistatic radar , detector , signal (programming language) , computer science , detection theory , radar , telecommunications , radar imaging , programming language

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 simulationbased analysis of detection performance and a thorough discussion on the computational complexity compared with that of the existing detectors are also provided.

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