An algorithm of NLOS error identification and mitigation in mobile location estimation. (23rd July 2021)

• Record Type: Journal Article
• Authors: Zhu, Changhong; Xiao, Ning
• Is Part Of: International journal of security and networks. Volume 16:Number 2(2021)
• Page Start: 98
• Page End: 104
• Publication Date: 2021-07-23
• Subjects: non-line-of-sight -- Kalman filter -- positioning accuracy -- identification -- mitigation; Computer networks -- Security measures -- Periodicals; 005.805
• Languages: English
• ISSNs: 1747-8405

Abstract

For the purpose of improving positioning accuracy of mobile station in the complex environment, a real-time non-line-of-sight (NLOS) identification and elimination method is proposed based on the characteristics of NLOS error. In this algorithm, Kalman filter (KF) is used to identify whether NLOS errors are included in range measurements in real time. According to the positive deviation characteristics of NLOS errors, there is a positive deviation between the smoothing curve of distance measurements and the real distance curve. The reconstructed line-of-sight measurements can be obtained by moving down the curve. The simulation results prove that the algorithm is better than traditional extended Kalman filter (EKF) and Wylie algorithm.