Rapid Transfer Alignment of MEMS SINS Based on Adaptive Incremental Kalman Filter

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Rapid Transfer Alignment of MEMS SINS Based on Adaptive Incremental Kalman Filter

In airborne MEMS SINS transfer alignment, the error of MEMS IMU is highly environment-dependent and the parameters of the system model are also uncertain, which may lead to large error and bad convergence of the Kalman filter. In order to solve this problem, an improved adaptive incremental Kalman filter (AIKF) algorithm is proposed. First, the model of SINS transfer alignment is defined based ...

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In this paper, a self-alignment method for strapdown inertial navigation systems based on the q-method is studied. In addition, an improved method based on integrating gravitational apparent motion to form apparent velocity is designed, which can reduce the random noises of the observation vectors. For further analysis, a novel self-alignment method using a Kalman filter based on adaptive filte...

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ژورنال

عنوان ژورنال: Sensors

سال: 2017

ISSN: 1424-8220

DOI: 10.3390/s17010152