The Application of Multi-Source Information Fusion Technology in Vehicle Integrated Navigation System
By analyzing the advantages and disadvantages of GPS, Beidou satellite positioning and navigation system and inertial navigation system, a design method of Beidou / GPS / INS integrated navigation system is proposed.This method uses the improved Kalman filter algorithm, and combines the integrated navigation system with multi-sensor such as laser radar for sufficient information fusion.The integrated navigation system model uses the dispersive filter structure of federated filtering to establish local filters respectively and deduces the state equation and observation equation of combined navigation.The filter cross-covariance matrix is used to solve the cross-correlation between local filters and affect the positioning accuracy problem.The simulation results show that the integrated navigation system has higher positioning accuracy than single navigation system, and can effectively enhance the real-time and fault-tolerance of the system and facilitate the troubleshooting and isolation of the navigation subsystems.
inertial navigation system Kalman filter algorithm laser radar dispersive filter structure filter error mutual covariance matrix
Bin-hui Tang Wei-jun Zeng Zhen-xing Zhou
Dept.of Computer Science and Technology Jincheng College of Sichuan University Chengdu,China,610000 Dept.of Water Resources A Yunnan Agricultural University Kunming,China,650201 A military representative office of the Chinese Peoples Liberation Army, Chengdu,China,610000
国际会议
成都
英文
107-113
2018-03-12（万方平台首次上网日期，不代表论文的发表时间）