煤矿井下区间分段视距节点合作定位算法

doi:10.19665/j.issn1001-2400.2019.01.026

Abstract

Abstract:

To overcome the problem of serious signal fluctuation and Non-line-of-sight signal attenuation with long distance positioning in a coal mine, a segmentation node cooperative localization algorithm is proposed. By using the learning vector quantization clustering to segment the long distance transmission interval, the threshold is used to select the range for an unknown node. We think of the unknown node that has been located as the virtual reference node of other unknown nodes, so that all node information can communicate with each other. In the idea of node screening, the multi-path effects are overcome and line-of-sight nodes are searched by channel state information. The reference nodes in the long range are replaced by the optimally located line-of-sight nodes in the close range. Results show that compared with the traditional unsegmented and unfinished line-of-sight path nodes, the positioning error is only 1.5m and the accuracy improvement rate is 85%.

Key words: segmentation, learning vector quantization, clustering, line-of-sight path, channel state information, node cooperation

CLC Number:

TD655

ZHAO Tong,LI Xiansheng,ZHANG Lei,DING Enjie,HU Yanjun. Algorithm for cooperational localization of the sectional interval and LOS node in a coal mine[J].Journal of Xidian University, 2019, 46(1): 166-173.

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References 18

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Algorithm for cooperational localization of the sectional interval and LOS node in a coal mine

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