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Convex feasibility problem based geometric approach for device-free localization

机译:基于凸可行性问题的几何方法用于无设备定位

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Device-free localization (DFL) is an emerging wireless localization technique where the target does not equip with any electronic tag for communicating with the localization system. It has been found numerous practical applications such as human health and medical care with the help of location detection and behavior analysis, intrusion detection, security safeguard, and emergency rescue. In the DFL system based on the radio-frequency (RF) signal, the radio transmitters (RTs) and the radio receivers (RXs) are used as sensors to sense the target collaboratively, and the location of the target can be estimated by fusing the changes of the received signal strength (RSS) measurements of the wireless links. In this paper, a novel geometric approach, CFP-PPOCS, is proposed for DFL, in which the DFL problem is formulated as a convex feasibility problem (CFP), and addressed by the parallel projections onto convex sets (PPOCS) algorithm. Experimental results demonstrate that the new approach can achieve better performance than the existing NOOLR and RTI approach.
机译:无设备定位(DFL)是一种新兴的无线定位技术,目标不配备任何电子标签来与定位系统进行通信。在位置检测和行为分析,入侵检测,安全防护和紧急救援的帮助下,已经发现了许多实际应用,例如人类健康和医疗保健。在基于射频(RF)信号的DFL系统中,无线电发射器(RT)和无线电接收器(RX)用作传感器以协同感测目标,并且可以通过融合目标来估计目标的位置无线链路的接收信号强度(RSS)测量值的变化。本文提出了一种新颖的DFL几何方法CFP-PPOCS,该方法将DFL问题公式化为凸可行性问题(CFP),并通过对凸集的并行投影(PPOCS)算法解决。实验结果表明,与现有的NOOLR和RTI方法相比,新方法可以实现更好的性能。

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