Study on Kalman Filtering Time-lag Smoothing Method in Satellite Positioning

doi:10.13474/j.cnki.11-2246.2017.0338

Abstract

Abstract: In order to improve the accuracy and performance of satellite navigation positioning,a method of Kalman filtering time-lag smoothing was introduced and discussed,and a Kalman filtering smoothing positioning model and its algorithm were built in this paper.Similar to classical Kalman filteing,the algorithm also has two kinds of equations-status system and measuring system,which could help to predict and update backward on the basis of follow-up epoch measured values and positioning results,thereby the overall positioning process can be smoothed again so that we can obtain the balance between positioning result tracking and smoothing performance.The paper analyzed and verified validity and feasibility of the method on the basis of GPS field experiment in various circumstances.Experiment results indicate that Kalman filtering time-lag smoothing positioning method can be adopted in various static and dynamic state navigation application field,which could make position results more smooth and accurate.The method has better anti-multipath and anti-interference performance, and it could also effectively improve positioning accuracy.

Key words: GPS, satellite navigation and positioning, Kalman filtering, fixed-point smoother, fixed-lag smoother, vehicle navigation

CLC Number:

P228

LIU Cheng, GUO Shuren, LI Fang. Study on Kalman Filtering Time-lag Smoothing Method in Satellite Positioning[J]. 测绘通报, 2017, 0(11): 6-10,26.

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