Wireless Location Technology Of Gauss Particle Filter Under NLOS Environment

DOI

10.2991/icmemtc-16.2016.48How to use a DOI?

Keywords

Wireless location; Non line of sight; Particle filter; Gauss transform; Time difference of arrive

Abstract

In cellular wireless location, the non line of sight (NLOS) error can seriously affect the accuracy of the position estimation of the mobile station. A Gaussian particle filter localization algorithm (Gauss-PF) is proposed, which is based on the Gauss transform. In this algorithm, the high precision of Gauss filtering and the latest observation data are used to ensure the accuracy of the mobile station, which can not only reduce the NLOS error of the nonlinear filter, but also solve the problem of particle degradation in classical particle filter. The simulation results show that the algorithm can maintain high accuracy and robustness in the case of NLOS error.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Linkai Yan
AU  - Yongyi Mao
PY  - 2016/04
DA  - 2016/04
TI  - Wireless Location Technology Of Gauss Particle Filter Under NLOS Environment
BT  - Proceedings of the 2016 3rd International Conference on Materials Engineering, Manufacturing Technology and Control
PB  - Atlantis Press
SP  - 251
EP  - 256
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmemtc-16.2016.48
DO  - 10.2991/icmemtc-16.2016.48
ID  - Yan2016/04
ER  -