Adaptive linear neural network for vehicle integrated navigation system

被引：0
|
作者：
Li, Hong-Lian
Huang, Ding-Fa
Cui, Xue-Mei
Zhang, Jun
Zhou, Le-Tao
机构：
[1] Dept. of Control Engineering, Chengdu University of Information Technology, Chengdu 610225, China
[2] School of Civil Engineering, Southwest Jiaotong University, Chengdu 610031, China
[3] School of Strategical Planning, Chongqing Technology and Business University, Chongqing 400067, China
来源：
Yadian Yu Shengguang/Piezoelectrics and Acoustooptics | 2007年 / 29卷 / 04期
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中图分类号：
学科分类号：
摘要：
According to the difficult to establish precise mathematical model in predicting position error for vehicle GPS/DR integrated navigation system, adaptive linear neural network method is proposed. The method decomposes and de-noises GPS/DR position signal. As GPS signal is valid, the method trains the network by GPS/DR position signal. As GPS signal is invalid, the method predicts position error and reckons vehicle real position. The simulation results show that the method is available for vehicle GPS/DR integrated navigation system.
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页码：496 / 498
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