Authors: Yuangang Zhang; Fangyuan He; Zhenzhen Liu; Xuqi Wang; Wei Wang
Addresses: Informatization Center of YanKuang Group, No. 298 Fushan South Road, Zoucheng, 273500, Shandong, China ' China University of Mining and Technology (Beijing), Ding No. 11 Xueyuan Road, Haidian District, Beijing, 100083, China ' China Mobile Hangzhou R&D Center, No. 1600, Yuhangtang Road, Yuhang District, Hangzhou, Zhejiang, 311100, China ' China University of Mining and Technology (Beijing), Ding No. 11 Xueyuan Road, Haidian District, Beijing, 100083, China ' Zhengzhou Power Supply Company of State Grid, Qinling Road, Zhengzhou, Henan, 450006, China
Abstract: 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.
Keywords: distributed compressed sensing; DCS; wavelet transform; joint recovery; multi-target positioning; Taylor series.
International Journal of Communication Networks and Distributed Systems, 2021 Vol.26 No.2, pp.198 - 218
Received: 22 Aug 2019
Accepted: 25 Feb 2020
Published online: 25 Jan 2021 *