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Passive source localization using power spectral analysis and decision fusion in wireless distributed sensor networks

机译:无线分布式传感器网络中使用功率谱分析和决策融合的无源定位

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摘要

Source localization is a challenging issue for multisensor multitarget detection, tracking and estimation problems in wireless distributed sensor networks. In this paper, a novel source localization method, called passive source localization using power spectral analysis and decision fusion in wireless distributed sensor networks is presented. This includes an energy decay model for acoustic signals. The new method is computationally efficient and requires less bandwidth compared with current methods by making localization decisions at individual nodes and performing decision fusion at the manager node. This eliminates the requirement of sophisticated synchronization. A simulation of the proposed method is performed using different numbers of sources and sensor nodes. Simulation results confirmed the improved performance of this method under ideal and noisy conditions.
机译:对于无线分布式传感器网络中的多传感器多目标检测,跟踪和估计问题,源定位是一个具有挑战性的问题。本文提出了一种新的源定位方法,即在无线分布式传感器网络中使用功率谱分析和决策融合的无源源定位方法。这包括声信号的能量衰减模型。通过在各个节点上进行本地决策并在管理者节点上执行决策融合,新方法与现有方法相比,计算效率更高,并且所需带宽更少。这消除了复杂同步的要求。使用不同数量的源和传感器节点对提出的方法进行了仿真。仿真结果证实了该方法在理想和嘈杂条件下的性能提高。

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