Particle Filter for Positioning Accuracy Improvement in GNSS Receiver

DOI

10.2991/eeic-13.2013.108How to use a DOI?

Keywords

GNSS receiver; Positioning accuracy; Kalman filtering; Particle filtering; Resampling algorithm

Abstract

Traditional GNSS receiver usually uses Least Squares (LS) method or Kalman filtering to calculate the position. This paper proposes a new method that uses particle filtering for positioning calculation. The proposed particle filtering bases on LS method, but resolves the low positioning accuracy problem of LS. It also overcomes the Kalman filtering’s drawback that need to know noise properties and receiver’s dynamic model previously. The paper gives detailed implementation of the particle filter that is applicable to positioning calculation in GNSS receiver. Based on a suitably built model, the filter uses a modified resampling algorithm, and selects reasonable particle number and proposal distribution according to simulation test. These effectively reduce the calculation and improve the performance of the filter. Simulation results with GSS6700 simulator, based on the digital Intermediate Frequency (IF) signals, show that compared with traditional LS method and Kalman filtering, the proposed particle filtering achieves much higher positioning accuracy.

Copyright

© 2013, 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  - Xiaowen Sun
AU  - Shufang Zhang
AU  - Qing Hu
PY  - 2013/12
DA  - 2013/12
TI  - Particle Filter for Positioning Accuracy Improvement in GNSS Receiver
BT  - Proceedings of the 3rd International Conference on Electric and Electronics
PB  - Atlantis Press
SP  - 458
EP  - 462
SN  - 1951-6851
UR  - https://doi.org/10.2991/eeic-13.2013.108
DO  - 10.2991/eeic-13.2013.108
ID  - Sun2013/12
ER  -