A combined approach for NLOS mitigation in cellular positioning with TOA measurements

M. Bora Zeytinci,Fernaz Alimoglu,F. Kerem Harmanci,Emin Anarim,Fatih Alagöz

European Signal Processing Conference（2007）

引用 24|浏览3

暂无评分

摘要

In this paper, we propose a method to mitigate the effects of non line of sight errors in range-based localization of mobile phones. The TOA/range measurement errors are dynamically tracked with a Kalman filter, which are then combined through a constrained weighted least squares (CWLS) algorithm to locate a mobile station with respect to three or more base stations. NLOS situations, which cause a large error in TOA readings, are initially detected and handled with a highly biased Kalman filter. The use of CWLS further mitigates NLOS errors. Simulation results clearly demonstrate the improvement offered by this combined approach.

查看译文

关键词

Kalman filters,cellular radio,least squares approximations,mobile handsets,time-of-arrival estimation,Kalman filter,NLOS mitigation,TOA measurements,cellular positioning,constrained weighted least squares algorithm,mobile phones,mobile station,non line of sight errors,range measurement errors,range-based localization,

AI 理解论文

溯源树

样例

生成溯源树，研究论文发展脉络

Chat Paper

正在生成论文摘要