An Improved Unified Transfer Alignment for MEMS-based SINS

In this paper, the unified transfer alignment scheme for micro electro mechanical system (MEMS)-based slave inertial navigation system (SINS) is investigated with the main focus on estimating the time-varying biases of gyro and accelerometer. An improved unified transfer alignment method is proposed to improve the alignment accuracy of MEMS-based SINS, where the sensor’s error models of SINS are established, and the time-varying biases are augmented into the states to be estimated by the linear Kalman filter. Simulation results illustrate that the proposed unified transfer alignment method has significantly better alignment performance than existing transfer alignment methods for MEMS-based SINS.