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Volume 45 Issue 11
Nov.  2023
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LI Jianjia, YU Baoguo, BAO Yachuan, YANG Menghuan, CUI Songzuo, TIAN Runze, ZHAO Jun. Research on Navigation-Enhanced Impulse-Radio Ultra-Wideband Conduit-Communication Integrated Self-Organizing Network Architectures for Complex Underground Environments[J]. Journal of Electronics & Information Technology, 2023, 45(11): 4179-4189. doi: 10.11999/JEIT230808
Citation: LI Jianjia, YU Baoguo, BAO Yachuan, YANG Menghuan, CUI Songzuo, TIAN Runze, ZHAO Jun. Research on Navigation-Enhanced Impulse-Radio Ultra-Wideband Conduit-Communication Integrated Self-Organizing Network Architectures for Complex Underground Environments[J]. Journal of Electronics & Information Technology, 2023, 45(11): 4179-4189. doi: 10.11999/JEIT230808

Research on Navigation-Enhanced Impulse-Radio Ultra-Wideband Conduit-Communication Integrated Self-Organizing Network Architectures for Complex Underground Environments

doi: 10.11999/JEIT230808
Funds:  The National Key Research and Development Program of China (2021YFB3900800), Hebei Provincial Science and Technology Plan (20310901D)
  • Received Date: 2023-08-01
  • Rev Recd Date: 2023-10-31
  • Available Online: 2023-11-07
  • Publish Date: 2023-11-28
  • Ultra-WideBand (UWB) technology is widely used for indoor positioning due to its advantages of large bandwidth, low power, and high precision. However, since UWB is essentially a communication signal system and it is difficult to form a network in complex environments, UWB systems still face challenges in complex indoor environments such as underground. To address this issue, high concurrency and coverage Navigation UWB(Hnav-UWB) is proposed in this paper based on the UWB standard signal system. The frame structure is simplified by optimizing the redundancy of communication information, the pulse transmission frequency is reduced and the energy of each pulse is increased, and an improved Time Hopping Binary Phase Shift Keying (TH-BPSK) modulation method is adopted to enhance the signal’s multi-user and multipath capabilities. Moreover, a dynamic reconstruction node network is designed in this paper to adapt to complex environments. The network has no master-slave nodes, pairwise distances are obtained by bidirectional ranging, relative position coordinates are built by using the MultiDimensional Scaling(MDS) algorithm, accuracy is improved by using the Distributed Cooperative Localization(DCL) algorithm, and map matching is performed by using the Least Squares(LS) method based on the known position of a point on the map. Based on the self-built Impulse-Radio Ultra-WideBand (IR-UWB) simulation system experiment, the results show that under the same conditions, Hnav-UWB’s bit error rate is 10 times lower than that of the control group, and the positioning accuracy is improved by 3 times. After 1 000 Monte Carlo simulations, the matching accuracy of the dynamic reconstruction node network reaches 95%.
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