A novel model for high dynamic GPS signal tracking

被引：0

作者：

Zhao, Wen-Jun ^{[1
]}

Mao, Xu-Chu ^{[1
]}

机构：

[1] School of Electronic Information and Electrical Engineering, Shanghai Jiaotong University, Shanghai 200240, China

来源：

Shanghai Jiaotong Daxue Xuebao/Journal of Shanghai Jiaotong University | 2014年 / 48卷 / 03期

关键词：

Extended Kalman filters - Correlators;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

A novel tracking model was proposed for high dynamic condition under which the traditional GPS signal tracking method has a high probability of losing lock as well as a low accuracy. The output from a large number of correlators with wide ranges of uncertainty in code phase and carrier phase were used. An optimized iterated extended Kalman filter algorithm based on the Levenberg-Marquardt method was also implemented to process the output from the correlators, despite large acquisition errors. The simulation results show that the new model performs well in tracking a high dynamic GPS signal with an acceleration of 150 g.

引用

页码：323 / 327