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A novel design of algorithm and framework for decentralized CFAR signal detection without prior information

机译:无先验信息的分散CFAR信号检测算法和框架的新颖设计

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In this paper, a fusion detection algorithm that focuses on decentralized CFAR (Constant False Alarm Rate) signal detection problem without prior information is proposed. In the algorithm, the threshold and test statistic of the detection fusion algorithm derive from the conventional CFAR detection method. At last a framework for decentralized CFAR signal detection is designed corresponding to the fusion algorithm. Simulation results illustrate that an almost optimal detection performance is obtained by the proposed algorithm.
机译:在本文中,提出了一种融合检测算法,该算法专注于无先验信息的分散式CFAR(恒虚警率)信号检测问题。在该算法中,检测融合算法的阈值和测试统计量是从常规CFAR检测方法得出的。最后,根据融合算法设计了一种分散式CFAR信号检测框架。仿真结果表明,所提出的算法获得了几乎最佳的检测性能。

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