会议专题

SINS Initial Alignment for Small Tilt and Large Azimuth Misalignment Angles

This paper presents the static base alignment of Strapdown Inertial Navigation System (SINS) employing simplified unscented Kalman filter (UKF) on nonlinear error model. Simplified UKF for nonlinear process and linear measurement models with complex additive noise is addressed and the error model for static alignment is derived with small tilt and large azimuth misalignments. Simulations are performed using simulated signals from inertial sensors. Simulation results show the superiority of algorithm in terms of convergence rate and alignment precision for small tilt and large azimuth misalignment angles.

Initial Alignment Strapdown Inertial Navigation System Unscented Kalman Filter

Tasadduq Abbas Zhang Yunyan Li Yanjun

School of Astronautics Northwestern Polytechnical University,Xian, Shaanxi, China

国际会议

2011 IEEE International Conference on Information and Education Technology(ICIET 2011)(2011年信息和教育技术国际会议)

贵阳

英文

253-257

2011-01-26(万方平台首次上网日期,不代表论文的发表时间)