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A Heuristic Link Selection for Radio Frequency Tomography based on BCS: Application

机译:基于BCS的射频断层扫描的启发式链路选择:应用

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Radio tomographic imaging as a coarse computational imaging method has attracted much attentions due to its potential applications in human surveillance. It utilizes the shadow fading characteristics of radio signals among wireless sensor network nodes to infer the targets' localization. The recovery process involves a large number of scanning links, which brings heavy burdens on node energy, communication routes and data storage. In general, there is a small number of targets and could be seen as a sparse signal compared with the original high-dimensional space. Hence, the key of scene recovery is the effective links selected. As the continuation of the previous part of work, this part of paper presents experimental studies indicate the proposed method is able to obtain better accuracy under the same number of measurements compared with the existed method. Numerical applications of proposed model are illustrated as well.
机译:由于其在人类监测中的潜在应用,射频断层摄影成像作为粗略计算成像方法引起了很多关注。它利用无线传感器网络节点之间的无线电信号的阴影衰落特性来推断目标本地化。恢复过程涉及大量扫描链接,其在节点能量,通信路由和数据存储器上带来了沉重的负担。通常,与原始高维空间相比,存在少数目标,并且可以被视为稀疏信号。因此,场景恢复的关键是所选的有效链接。作为前一部分工作的延续,这部分纸张提出了实验研究表明,与存在的方法相比,所提出的方法能够在相同数量的测量下获得更好的精度。所提出的模型的数值应用是说明的。

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