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- W2384930871 abstract "This paper presents a method for the initial alignment of strap-down inertial navigation system on stationary base.Magnetism compass and accelerometer are used to get the initial pose angles for the coarse alignment.Then RBF neural network,with its radial function chosen by average method and weights adjusted by H∞ robust filter,is applied for changing the pose angles to ensure the robustness and real-time computing.Simulation results show that this method is efficient and rapid for initial alignment compared with traditional Kalman filter,and it can achieve the comparative precision of Kalman filter as well." @default.
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- W2384930871 date "2006-01-01" @default.
- W2384930871 modified "2023-09-24" @default.
- W2384930871 title "RBF Networks for Initial Alignment of Strap-down Inertial Navigation System" @default.
- W2384930871 hasPublicationYear "2006" @default.
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