Application of Hybrid Filtering Algorithm Based on Neural Network in INS/GPS Integrated Navigation System

被引：0

作者：

Hu, Huaizhong ^{[1
]}

Zhang, Jianbo ^{[1
]}

机构：

[1] Xi An Jiao Tong Univ, Inst Control Engn, Xian, Shaanxi, Peoples R China

来源：

2018 IEEE 4TH INTERNATIONAL CONFERENCE ON CONTROL SCIENCE AND SYSTEMS ENGINEERING (ICCSSE 2018) | 2018年

关键词：

hybrid filtering algorithm; Kalman filter; neural network; integrated navigation system; KALMAN FILTER;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Filtering algorithm is One of the key technologies that affect the performance and reliability of INS/GPS integrated navigation systems. The paper adopts hybrid filtering algorithm based on neural network. Using the powerful learning and identification capabilities of the neural network, the hybrid filtering algorithm solve the problem of the Kalman filtering precision degradation caused by the system noise and the measurement noise and the absence of the GPS signal. The simulation results show that the hybrid filtering algorithm is effective.

引用

页码：317 / 321

页数：5

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