Study on Data Fusion Algorithm in High Dynamic GPS/INS Integrated Navigation System

被引：0

作者：

Ye, Youyi ^{[1
]}

Zhao, Xiang ^{[1
]}

机构：

[1] PLA, Logist Engn Univ, Dept Petr Supply Engn, Chongqing 401311, Peoples R China

来源：

ADVANCES IN MANUFACTURING TECHNOLOGY, PTS 1-4 | 2012年 / 220-223卷

关键词：

GPS; INS; Kalman Filtering; Positioning Precision; Integrated Navigation System;

D O I：

10.4028/www.scientific.net/AMM.220-223.2280

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

This document explains how to aim at low-precision in navigation and position of Inertial Navigation System and dependence of Global Positioning System. A combination of these two systems provides good compensations for each other. GPS/INS integrated navigation system in high dynamic environment is studied, an integrated algorithm based on the pseudo-range and pseudo-range rate is introduced. By analyzing the error model of INS and UPS navigation systems, the state equation and the observation equation are founded. Finally, data fusion algorithm is simulated using kalman filtering algorithm, simulation results show that the data fusion algorithm can improve reliability and maturity of integrated navigation system.

引用

页码：2280 / 2283

页数：4

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