Fuzzy Systems

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Fuzzy CACMAP-CFAR Performance Analysis


Affiliations
1 Laboratory of Computer Science, Modeling, Optimization and Electronic Systems (LIMOSE), Department of Physics, Boumerdes University, Boumerdes 35000, Algeria
     

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In this paper, we consider the problem of distributed constant false alarm rate (CFAR). The Fuzzy cell-averaging (FCA-CFAR) and Fuzzy clutter-map (FCMAP-CFAR) detectors are employed as local detectors. We assume that the target is a fluctuating according to Swerling I model embedded in a white Gaussian noise of unknown variance. Each detector computes the value of the membership function to the false alarm space from the samples of the reference cells and transmits it to the fusion centre. These values are combined according to fuzzy fusion rules to produce a global membership function to the false alarm space. The simulation results indicate the robust performance of fuzzy fusion rules in homogeneous and non-homogeneous situations.


Keywords

CFAR Detection, Clutter, Data Fusion, Fuzzy Rules, Radar Target.
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  • Fuzzy CACMAP-CFAR Performance Analysis

Abstract Views: 265  |  PDF Views: 4

Authors

H. E. Bouchelaghem
Laboratory of Computer Science, Modeling, Optimization and Electronic Systems (LIMOSE), Department of Physics, Boumerdes University, Boumerdes 35000, Algeria
M. Hamadouche
Laboratory of Computer Science, Modeling, Optimization and Electronic Systems (LIMOSE), Department of Physics, Boumerdes University, Boumerdes 35000, Algeria

Abstract


In this paper, we consider the problem of distributed constant false alarm rate (CFAR). The Fuzzy cell-averaging (FCA-CFAR) and Fuzzy clutter-map (FCMAP-CFAR) detectors are employed as local detectors. We assume that the target is a fluctuating according to Swerling I model embedded in a white Gaussian noise of unknown variance. Each detector computes the value of the membership function to the false alarm space from the samples of the reference cells and transmits it to the fusion centre. These values are combined according to fuzzy fusion rules to produce a global membership function to the false alarm space. The simulation results indicate the robust performance of fuzzy fusion rules in homogeneous and non-homogeneous situations.


Keywords


CFAR Detection, Clutter, Data Fusion, Fuzzy Rules, Radar Target.