A Location Algorithm with Improved Accuracy Based on Correction of Noise High-Order Cumulant
A Location Algorithm with Improved Accuracy Based on Correction of Noise High-Order Cumulant作者机构:PLA Information Engineering University China National Software & Service Co. Ltd.
出 版 物:《Chinese Journal of Electronics》 (电子学报(英文))
年 卷 期:2017年第26卷第1期
页 面:179-184页
核心收录:
学科分类:080904[工学-电磁场与微波技术] 0810[工学-信息与通信工程] 0809[工学-电子科学与技术(可授工学、理学学位)] 08[工学] 080402[工学-测试计量技术及仪器] 0804[工学-仪器科学与技术] 081001[工学-通信与信息系统]
基 金:supported by the National Natural Science Foundation of China(No.61401513)
主 题:Location Non-line-of-sight(NLOS) Third-order cumulant Skewness
摘 要:The Non-line-of-sight(NLOS) error is the key issue for mobile user location in cellular wireless communication system. In this paper, we propose a robust and accurate approach using biased Kalman filter based on third-order cumulant to mitigate the NLOS error. The simulation results indicate that with less prior information about communication environments, the approach we present has a better location performance even in severe NLOS situations.