摘要
针对现有室内复杂大场景中超宽带(UWB)基站布局优化方法难以平衡兼顾非视距(NLOS)标签的可定位范围、精度和成本等问题,提出一种顾及NLOS遮挡的UWB基站布设多目标联合优化方法:根据目标区域内UWB基站的NLOS传播情况判断所有可定位点;然后将可定位区域的平面精度稀释因子(HDOP)、可定位空间覆盖率、克拉美罗界(CRB)和布站成本加权求和作为目标函数;最终使用基于莱维飞行策略的改进雪消融算法(LFSAO)求解基站最优布设位置。实验结果表明,该方法布站优化后,站点一层最佳的16基站方案相比于基站数目最少的9基站方案,覆盖率从43.5%提升到99.7%,HDOP值下降18.7%,CRB值下降27.9%;站点二层中最佳的18基站方案相比于基站数量最少的8基站方案,覆盖率从87.1%提升到99.6%,HDOP值下降43.5%,CRB值下降66.0%;该方法具有良好的实用价值。
Aiming at the problem of the challenge of balancing label range,positioning accuracy and system cost in large and co mplex indoor scenes affected by non-li ne-of-sight(NLOS),the paper proposed a multi-objective joint optimization method for ultra-wideband(UWB)base station layout:all locatable points were determined according to the NLOS propagation of UWB base stations in the target area;then the weighted summation of the horizontal dilution of precision(HDOP),locatable space coverage,Cramer-Rao bound(CRB)and cost using of the locatable area was taken as the objective function;finally,a levy flight snow ablation optimizer(LFSAO)was used to solve the optimal location of the base station.Experimental results showed that after optimizing the station layout strategy in this paper,the coverage rate of the best 16-base station scheme on the first layer of the site would increase significantly from 43.5%to 99.7%,compared to the 9-base station scheme;additionally,there would be an observed decrease in HDOP value by 18.7%and a reduction in CRB value by 27.9%;furthermore,when compared with the 8-base station scheme,the coverage rate of the best 18-base station scheme on the second layer of the site would improve from 87.1%to 99.6%,accompanied by a significant decrease in HDOP value by 43.5%and a reduction in CRB value by as much as 66.0%;the proposed method could demonstrate a good practical significance.
作者
李颖奇
王生亮
张宝成
张洋
许刘晴
张督
LI Yingqi;WANG Shengliang;ZHANG Baocheng;ZHANG Yang;XU Liuqing;ZHANG Du(School of Vehicle and Transportation Engineering,Taiyuan University of Science and Technology,Taiyuan 030024,China;State Key Laboratory of Satellite Navigation System and Equipment Technology,Shijiazhuang 050081,China;College of Mining Engineering,Taiyuan University of Technology,Taiyuan 030024,China;State Key Laboratory of Precision Geodesy,Innovation Academy for Precision Measurement Science and Technology,Chinese Academy of Sciences,Wuhan 430077,China;College of Earth and Planetary Sciences,University of Chinese Academy of Sciences,Beijing 100049,China)
出处
《导航定位学报》
北大核心
2025年第4期156-167,共12页
Journal of Navigation and Positioning
基金
太原科技大学博士科研启动基金资助项目(20232112,20242027)
山西省基础研究计划(自由探索类)青年项目(202203021212284)
山西省高等学校科技创新项目(2024L225)
卫星导航系统与装备技术国家重点实验室开放基金项目(CEPNT2022B07)
中国国家铁路集团有限公司科技研究开发计划项目(N2023X003)。
