Authors: Changhong Zhu; Ning Xiao
Addresses: School of Computer Science and Engineering, Guilin University of Aerospace Technology, No. 2 Jinji Road, Guilin, Guangxi, 541004, China ' Department of Information Engineering, Bowen College of Management Guilin University of Technology, No. 317, Yanshan Street, Guilin, Guangxi, 541006, China
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.
Keywords: non-line-of-sight; Kalman filter; positioning accuracy; identification; mitigation.
International Journal of Security and Networks, 2021 Vol.16 No.2, pp.98 - 104
Received: 25 Apr 2020
Accepted: 14 Jul 2020
Published online: 23 Jul 2021 *