The Application of Asynchronous Kalman Filter to Integrated Navigation System
Asynchronous Kalman Filter is derived. The relation between the performance of the filter and the accuracy of initial estimation error covariance, state noise covariance, measure noise covariance is analyzed. The conclusion that the equivalent of the optimal filter using correct filtering parameters can be constructed using incorrect filtering parameters is obtained. The asynchronous Kalman filter is applied to integrated navigation system and the conclusion is verified by the result of simulation.
Qu Tiejun Yang Xudong Hu Zhenkun
Dept. of Control Science and Engineering, Harbin Institute of Technology
国际会议
北京
英文
40-44
2007-11-04(万方平台首次上网日期,不代表论文的发表时间)