Wireless accurate location algorithm based on node cooperation in underground coal mine
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摘要: 针对现有多边定位算法在定位基站布置稀疏的情况下定位精度低、鲁棒性差的问题,提出了基于节点协作的无线精确定位算法,给出了未知节点误差和最小的加权非凸定位模型,并提出相应的非迭代式定位算法。仿真和实验结果表明,在典型巷道定位布置、未知节点均匀随机的情景中,采用所提算法得到的未知节点平均定位误差随节点数增加而降低,且下降趋势随节点数增加变缓;该定位算法可实现总体上的定位鲁棒性和定位精度的提高,其代价为个别节点定位精度的降低及定位时间复杂度的上升。
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关键词:
- 煤矿井下无线精确定位 /
- 节点协作 /
- 加权非凸定位模型 /
- 非迭代式定位算法
Abstract: In view of problems that existing multilateral location algorithms had low location accuracy and poor robustness in the case of sparse location base station, a wireless accurate location algorithm based on node cooperation was proposed. Weighted non-convex location model with the minimum error sum of unknown nodes, and corresponding non-iterative location algorithm was proposed. The simulation and experimental results show that average location error of unknown nodes obtained by the proposed algorithm decreases with the increasing of the number of nodes in typical roadway location arrangement and uniform random nodes, and downward trend slows down as the number of nodes increases. The location algorithm can achieve overall improvement of location robustness and location accuracy, which is at the cost of lowering the location accuracy of individual nodes and increasing the complexity of location time.
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