基于深度优先多径参数估计的NLOS定位增强算法  

NLOS location enhancement algorithm based on depth-first multipath parameter estimation

作　　者：卢小峰[1] 董晔 李越杰 LU Xiaofeng;DONG Ye;LI Yuejie(State Key Laboratory of Integrated Services Networks,Xidian University,Xi’an 710071,China)

机构地区：[1]西安电子科技大学空天地一体化综合业务网全国重点实验室,陕西西安710071

出　　处：《通信学报》2023年第8期99-110,共12页Journal on Communications

基　　金：国家自然科学基金资助项目(No.62071364,No.62132004,No.62231027);国家重点研发计划基金资助项目(No.2021YFB2900204)。

摘　　要：为了提高非视距(NLOS)环境中的毫米波系统定位精度,基于分布式压缩感知理论,提出一种深度优先的多路径参数估计算法。通过估计出来的多径参数来识别NLOS路径,增强了定位性能。首先,使用深度优先算法来减少非必要的路径搜索,获得更加准确的多径参数。其次,采用反向定位距离残差的方法进行NLOS多径识别。然后,对NLOS路径中的散射体进行匹配,估计出散射体的位置并将其视为虚拟锚节点。结合基站与虚拟锚节点的信息实现定位增强。最后,对所提算法的定位性能进行了仿真,与距离加权最小二乘(LS)算法和最大鉴别变换(MDT)算法相比,所提算法的性能分别提升了17%和8%。In order to improve the positioning accuracy of millimeter wave system with non-line-of-sight(NLOS)paths,a depth-first multipath parameter estimation algorithm was proposed based on distributed compressed sensing.According to the evaluated multipath parameters,NLOS path could be identified,so that the localization performance was enhanced.Firstly,depth-first algorithm was applied to reduce the unnecessary path searching,and the more accurate multipath parameters were obtained.Secondly,under the reverse positioning distance residual method,NLOS path recognition could be carried out.Then,the scatterers in the NLOS path were matched,and the position of which were regarded as virtual anchor nodes.Combining the information of base stations and virtual anchor nodes,positioning enhancement was realized.Finally,localization performance of the proposed algorithm was simulated,compared with the distance weighted least square(LS)and maximum discrimination transformation(MDT)algorithms,the performance of the proposed algorithm is improved by 17%and 8%respectively.

关 键 词：毫米波 深度优先 多径识别 虚拟锚节点 定位增强 

分 类 号：TN92[电子电信—通信与信息系统]