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AFastInitialAlignmentMethodofInertialNavigation.ra
DL : 0
Because of the poor observability of Inertial Navigation System on stationary base, the estimation error of the azimuth will converge very slowly in initial alignment by means of Kalmari filtering, and making the time initial alignment is longer. In this paper, a fast estimation method of the azimuth error is creatively proposed for the initial alignment of INS on stationary base. On the basis of the the fast convergence of the leveling error, the azimuth error can be directly calculated. By means of this fast initial alignment method, the time of initial alignment is reduced greatly. The computer simulation results illustrate the efficiency of the method.
Date
: 2026-01-10
Size
: 184kb
User
:
huzhou
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Kalman-Filte
DL : 0
针对卡尔曼滤波在捷联惯性导航系统初始对准中的应用,分析了卡尔曼状态方程和量测方程的构建方式。-Based on the application of kalman filter in initial alignment of strapdown INS,the method of kalman state equation and observation equation’S construction was analyzed.
Date
: 2026-01-10
Size
: 300kb
User
:
吴杰
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Nonlinear-robust-observer.pdf
DL : 0
Nonlinear Robust Observer Design for Strapdown INS In-Flight Alignment
Date
: 2026-01-10
Size
: 412kb
User
:
Tran
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