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Underwater Multi-target Position Method based on received signal strength

机译:基于接收信号强度的水下多目标位置方法

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Compared with the traditional position technology, the method based on Received Signal Strength (RSS) has lower requirements and operation complexity for hardware equipment, which is suitable for underwater sensors position. Underwater acoustic source sensor nodes are randomly distributed, and the number is limited in a large area in water, so the underwater acoustic sensor position network is sparse. In view of this characteristic, the Compressed Sensing (CS) technology can be applied to underwater sensors position. In this paper, a CS network is established based on the energy attenuation model of underwater acoustic signals, the position information of the target is taken as the sparse vector. The area where multiple acoustic source target nodes are located is divided into several grids. Several receiving nodes whose positions are known are placed in the area. The measurement matrix is constructed by the channel characteristics between the receiving nodes and the center of the grids, and the measurement matrix is orthogonalized for satisfying the Restricted Isometry Property (RIP). The observation matrix is composed of RSS ratios received by different receiving nodes according to ergodicity principle. The simulation results show that when the position information is not complete, the positions of multiple targets can be obtained simultaneously.
机译:与传统的位置技术相比,基于接收信号强度(RSS)的方法对硬件设备的要求和操作复杂性较低,适用于水下传感器位置。水下声源传感器节点随机分布,并且该数量在水中大面积限制,因此水下声学传感器位置网络稀疏。鉴于该特征,压缩传感(CS)技术可以应用于水下传感器位置。本文基于水下声信号的能量衰减模型建立了CS网络,将目标的位置信息作为稀疏向量。定位多个声源目标节点的区域被分成几个网格。若干接收节点的位置被置于该区域中。测量矩阵由接收节点和网格中心之间的信道特性构成,并且测量矩阵正交以满足受限制的等距特性(RIP)。观察矩阵由根据ergodicity原理由不同接收节点接收的RSS比组成。仿真结果表明,当位置信息不完整时,可以同时获得多个目标的位置。

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