An Improved Adaptive Federal Kalman Filter Algorithm For Integrated Navigation

作者：Ying Zhai, Xisheng Li, Yibo Feng, Xiaojuan Zhang · 发表于：Advances in intelligent systems research/Advances in Intelligent Systems Research · 年份：2015 · DOI：10.2991/isrme-15.2015.97 · 被引用次数：1 · 研究领域：Inertial Sensor and Navigation、Target Tracking and Data Fusion in Sensor Networks、GNSS positioning and interference

Integrated navigation system has become an important navigation system. On the basis of previous research about the federal Kalman filter, this paper mainly studied the key technologies of low-cost SINS/GPS/Magnetic compass integrated navigation system, an adaptive federal filter method of vector-form information distribution coefficients is proposed and compared with ordinary federal Kalman filter and the adaptive federal filter based on filter covariance matrix eigenvalue decomposition. The simulation results show that the proposed algorithm can get higher accuracy of navigation.