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Performance evaluation of multi-target tracking for PhyC-SN

机译:PHYC-SN的多目标跟踪性能评估

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Physical conversion sensor networks (PhyC-SN) achieve simultaneous data collection in wireless sensor networks. Although the PhyC-SN can recognize the median and the outliers of all the sensing data simultaneously, their separation into each sensor data is a difficult task. To address this task, we have proposed a data separation method that utilizes multi-target tracking with use of the sensing data and the received spectrum power for the separation. Even if some of the sensor data are close to each other, the instantaneous power of the sensor data bearing signal is a useful feature for the separation. In this paper, we clarify the separation accuracy of our separation method under various wireless environments by computer simulation.
机译:物理转换传感器网络(PHYC-SN)在无线传感器网络中实现同时数据收集。虽然PHYC-SN可以同时识别所有感测数据的中位数和异常值,但它们分离到每个传感器数据是一项艰巨的任务。为了解决此任务,我们提出了一种数据分离方法,该方法利用了使用感测数据和接收的频谱功率来分离的多目标跟踪。即使一些传感器数据彼此接近,传感器数据承载信号的瞬时功率也是分离的有用特征。在本文中,我们通过计算机仿真阐明了各种无线环境下的分离方法的分离精度。

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