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Citation: Wang Danli, Zhang Hongyue, S.I.Gubarencoet al. Suboptimal Filter Algorithm of Initial Alignment in Inertial Navigation System[J]. Journal of Beijing University of Aeronautics and Astronautics, 1999, 25(4): 418-421. (in Chinese)

Suboptimal Filter Algorithm of Initial Alignment in Inertial Navigation System

  • Received Date: 16 Feb 1998
  • Publish Date: 30 Apr 1999
  • The dynamic error vector equation of the initial alignment in an inertial navigation system and the observability problem of the dynamic error vector are analysed.The system state space is divided into observable subspaces by using the observable degree of the dynamic error vector.In the initial alignment problem of an inertial navigation system, a suboptimal Kalman filter algorithm is constructed by using the concept of the observable degree of a variable.The optimal Kalman filter algorithm and the suboptimal Kalman filter algorithm of the initial alignment are realized by using C language to programming.Simulation results show that the proposed suboptimal Kalman filter algorithm is available to the initial alignment in an inertial navigation system.

     

  • 1. Парусников Н А,Морозов В М,Ъоров В И.Задача коррекции в инерциалъной навигации.Москва:Изд-во Моск Гос Ун-та,1982 2. Губаренко С И.Методика анализа наблюдаемости и построения субоптималъных алгоритмов оценивания на примере задачи началъной выставки инерциалъных систем.Гироскопия и Навигация,1994,3(6):35~40 3. Ъромберг П В.Теория инерциалъных систем навигации.Москва:Наука,1979 4. Jiang Y F,Lin Y P.Error estimation of INS ground alignment through observability analysis.IEEE Tran on Aerospace and Elec Sys,1992,128(1):92~97 5. 袁 信,余济详,陈 哲.导航系统.北京:航空工业出版社,1992
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