A novel method improving the alignment accuracy of a strapdown inertial navigation system on a stationary base

作者：Zhang, CB^*; Tian, WF; Jin, ZH

来源：Measurement Science and Technology, 2004, 15(4): 765-769.

DOI：10.1088/0957-0233/15/4/021

• SINS
• initial alignment
• Kalman filtering
• state estimation

In the process of initial alignment for a strapdown inertial navigation system (SINS) on a stationary base, the east gyro drift rate is an important factor affecting the alignment accuracy of the azimuth misalignment angle. When the Kalman filtering algorithm is adopted in initial alignment, as the east gyro drift rate cannot be estimated, it yields a constant error in the estimation of the azimuth misalignment angle. In this paper, a novel method is proposed to improve the alignment accuracy. The update equation for the estimate of the east gyro drift rate is established, and the estimation accuracy of the azimuth misalignment angle has been improved greatly through adjusting the estimated value of the east gyro drift rate on the basis of the update equation. Simulation results show that the method proposed in this paper is efficient in initial alignment for a medium accuracy SINS on a stationary base.

• 出版日期2004-4
• 单位上海交通大学