We consider the decentralized detection problem, involving N sensors and a central processor, in which the sensors transmit unquantized data to the fusion center. Assuming a homogeneous background for constant false-alarm rate (CFAR) analysis, we obtain the performances of the system for the Swerling I and Swerling III target models. We demonstrate that a simple nonparametric fusion rule at the central processor is sufficient for nearly optimum performance. The effect of the local signal-to-noise ratios (SNRs) on the performances of the optimum detector and two suboptimum detectors is also examined. Finally, we obtain a set of conditions, related to the SNRs, under which better performance may be obtained by using decentralized detection as compared with centralized detection.
Local SNR considerations in decentralized CFAR detection
IEEE Transactions on Aerospace and Electronic Systems ; 34 , 1 ; 13-22
1998-01-01
898926 byte
Article (Journal)
Electronic Resource
English
Local SNR Considerations in Decentralized CFAR Detection
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