Distributed CFAR Detection Based on Unbiased Minimum-variance Estimation Algorithm
Chaohuan Hou
Abstract
Chaohuan Hou
Abstract
In order to improve the performance of distributed constant false alarm rate(CFAR) detection,a new type of distributed CFAR scheme which takes UMVE-CFAR detector as local detectors is studied in this paper.The objective function and optimization equation of the distributed UMVE-CFAR are derived.By comparison with other classical distributed schemes,result shows that the detection performance of the distributed UMVE-CFAR is better than that of the distributed OS-CFAR in homogenous environments and multiple target situations,and worse than that of the distributed OS-CFAR against clutter edge background.
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In order to improve the performance of distributed constant false alarm rate(CFAR) detection,a new type of distributed CFAR scheme which takes UMVE-CFAR detector as local detectors is studied in this paper.The objective function and optimization equation of the distributed UMVE-CFAR are derived.By comparison with other classical distributed schemes,result shows that the detection performance of the distributed UMVE-CFAR is better than that of the distributed OS-CFAR in homogenous environments and multiple target situations,and worse than that of the distributed OS-CFAR against clutter edge background.
Key concepts: Constant false alarm rate, Clutter, Computer science, Algorithm, Detector, Enhanced Data Rates for GSM Evolution, Distributed algorithm, Variance (accounting)