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INITIAL ALIGNMENT METHOD FOR SINS BASED ON GPR AND IMPROVED SRCKF

机译:基于GPR和改进的SRCKF的惯性初始对准方法

摘要

An initial alignment method for an SINS based on a GPR and an improved SRCKF, comprising: first obtaining different pieces of sensor data and pre-processing same; establishing an equation of state and a measurement equation of a carrier system; selecting a cubature point of an SRCKF by using an SSR rule, and establishing a recursive equation of the improved SRCKF; performing recursion by using the recursive equation of the improved SRCKF to finally obtain an attitude error angle of a carrier through recursion during initial alignment; in the environment where quick alignment is required, establishing a GPR model; and estimating, according to the current measurement data of the system, the attitude error angle of the system in the current alignment process, and calculating an attitude matrix to complete an initial alignment task. The alignment method improves the robustness of the SRCKF, improves the numerical value stability of a filter algorithm, reduces the computing amount of a high order SRCKF, accelerates the initial alignment speed, and can obtain the initial alignment result matching the precision of the improved SRCKF.
机译:一种基于GPR和改进的SRCKF的捷联惯导初始对准方法,包括:首先获取不同的传感器数据并对其进行预处理;建立载体系统的状态方程和测量方程;通过SSR规则选择SRCKF的孵化点,建立改进后的SRCKF的递推方程;利用改进后的SRCKF的递推方程进行递归,最终通过初始对准时的递归最终获得载体的姿态误差角;在需要快速调整的环境中,建立GPR模型;根据当前系统的测量数据,估计当前对准过程中系统的姿态误差角,并计算出姿态矩阵以完成初始对准任务。该对齐方法提高了SRCKF的鲁棒性,提高了滤波算法的数值稳定性,减少了高阶SRCKF的计算量,加快了初始对齐速度,可以获得与改进后的SRCKF精度相匹配的初始对齐结果。 。

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