2007•Journal of Projectiles.Rockets.Missiles and GuidanceRequires access

Distributed CFAR Detection Based on Unbiased Minimum-variance Estimation Algorithm

Chaohuan Hou

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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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What this paper is about

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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Available 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.

Key concepts: Constant false alarm rate, Clutter, Computer science, Algorithm, Detector, Enhanced Data Rates for GSM Evolution, Distributed algorithm, Variance (accounting)

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