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首页> 外文期刊>AEU: Archiv fur Elektronik und Ubertragungstechnik: Electronic and Communication >Adaptive Clutter-Map CFAR detection in distributed sensor networks
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Adaptive Clutter-Map CFAR detection in distributed sensor networks

机译:分布式传感器网络中的自适应杂波图CFAR检测

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摘要

In this paper, the problem of Clutter Map Constant False Alarm Rate (CMAP-CFAR) detection is considered for a distributed detection with two and three sensors and a data fusion centre. We assume that the sensors are identical and that the target is a fluctuating according to the Swerling I model, embedded in a white Gaussian noise of unknown variance. Closed form expressions of the global probabilities of detection and false alarm for the 'AND', 'OR' and 'MAJORITY' rules and the Adaptive Detection Threshold are determined and the performance of the system is investigated and analyzed. (C) 2016 Elsevier GmbH. All rights reserved.
机译:在本文中,考虑将杂波图恒定误报率(CMAP-CFAR)检测问题用于具有两个和三个传感器以及一个数据融合中心的分布式检测。我们假设传感器是相同的,并且根据Swerling I模型,目标是波动的,并且嵌入未知方差的高斯白噪声中。确定了“与”,“或”和“重大”规则以及自适应检测阈值的全局检测和虚警概率的闭式表达式,并研究和分析了系统的性能。 (C)2016 Elsevier GmbH。版权所有。

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