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Distributed compressed sensing multi-target positioning method based on wavelet transform

机译:基于小波变换的分布式压缩检测多目标定位方法

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In the environment of coal mine underground tunnel, it is difficult to establish a unified electromagnetic propagation model because of the factors that multi-path effect and electromagnetic wave propagation loss are numerous and complicated, in addition, the trilateral positioning of electromagnetic wave ranging is very demanding on the hardware system. In order to solve the problems, a multi-target positioning method of distributed compressed sensing based on wavelet transform is proposed, which is on the basis of researching the low power consumption and lightweight design of underground tunnel hardware. The method makes full use of the spatial correlation information of the nodes in the tunnel and transforms the target positioning problem into a joint recovery problem of signal group data. The target positions can be achieved through a non-cooperative manner and a small number of sample values, which effectively reduces the additional energy consumption caused by the exchange of data between nodes. The simulation results show that the proposed method satisfies the application of underground hardware nodes in an energy efficient way.
机译:在煤矿地下隧道的环境中,难以建立一个统一的电磁传播模型,因为多路径效应和电磁波传播损失无数并且复杂的因素,电磁波测距的三边定位非常要求硬件系统。为了解决问题,提出了一种基于小波变换的分布式压缩检测的多目标定位方法,这是基于研究地下隧道硬件的低功耗和轻质设计的基础。该方法充分利用隧道中节点的空间相关信息,并将目标定位问题转换为信号组数据的联合恢复问题。目标位置可以通过非协作方式和少量样本值来实现,这有效地降低了节点之间的数据交换引起的额外能量消耗。仿真结果表明,该方法满足了地下硬件节点以节能方式的应用。

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