Infrared and Laser Engineering, Volume. 47, Issue 12, 1217005(2018)
Algorithm based on combined filters for integrated navigation systems of FOG INS and star sensor
In order to solve the problem that Kalman filter(KF) used in continuous, non-linear inertial navigation system(INS) suffered low accuracy in estimating model error, model predictive filter(MPF) directly processing continuous, non-linear system was adopted to provide one-step prediction for KF. Combining the advantages of the two filter algorithm, the accuracy of navigation could be further improved. Based on data tested by fiber-optic gyro(FOG) INS and star sensor(SS) data provided by computer, a simulation was executed for the presented combined filters, which proved the feasibility and superiority of the combined filtering algorithm in this paper.
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Li Bin, Cai Chunlong, Meng Xiangtao. Algorithm based on combined filters for integrated navigation systems of FOG INS and star sensor[J]. Infrared and Laser Engineering, 2018, 47(12): 1217005
Category: 光电测量
Received: Jul. 5, 2018
Accepted: Aug. 10, 2018
Published Online: Jan. 10, 2019
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