A New Kalman Filter-Based In-Motion Initial Alignment Method for DVL-Aided Low-Cost SINS | IEEE Journals & Magazine | IEEE Xplore
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A New Kalman Filter-Based In-Motion Initial Alignment Method for DVL-Aided Low-Cost SINS


Abstract:

The inertial measurement unit (IMU) biases, DVL lever arm and installation misalignment angles between IMU and doppler velocity log (DVL) have a great influence on in-mot...Show More

Abstract:

The inertial measurement unit (IMU) biases, DVL lever arm and installation misalignment angles between IMU and doppler velocity log (DVL) have a great influence on in-motion initial alignment for DVL-aided low-cost strap-down inertial navigation system (SINS). A new Kalman filter-based initial alignment method is proposed in this paper. To weaken the effects of IMU biases, DVL lever arm and installation misalignment angles between IMU and DVL, a closed-loop scheme is presented to simultaneous estimate and compensate these parameter errors and the body attitude matrix based on a linear state-space model, which improves the accuracy of vector observations. The constant matrix from initial body frame to initial navigation frame can be determined based on the vector observations by Davenport's q-method. Simulation results illustrate that, for the DVL-aided low-cost SINS, the alignment performance of the proposed initial alignment method is better than that of the compared initial alignment methods.
Published in: IEEE Transactions on Vehicular Technology ( Volume: 70, Issue: 1, January 2021)
Page(s): 331 - 343
Date of Publication: 01 January 2021

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