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简化七阶CQKF及其在SINS大失准角初始对准中的应用
引用本文:孟东,缪玲娟,邵海俊,沈军.简化七阶CQKF及其在SINS大失准角初始对准中的应用[J].宇航学报,2018,39(8):905-912.
作者姓名:孟东  缪玲娟  邵海俊  沈军
作者单位:北京理工大学自动化学院,北京 100081
基金项目:国家自然科学基金(6153002);总装备部预先研究基金(51309030104)
摘    要:针对捷联惯性导航系统(SINS)大失准角初始对准的滤波过程,提出简化七阶正交容积卡尔曼滤波算法(7th-SCQKF)。根据简化容积卡尔曼滤波(CKF)理论,推导出改进的简化七阶CKF算法(7th-MSSRCKF),改进了原简化七阶CKF(7th-SSRCKF)的性能;同时,在7th-SSRCKF和7th-MSSRCKF基础上,引入正交半径准则,提出简化七阶CQKF(7th-SCQKF)算法,提高了滤波精度;并将简化七阶CQKF(7th-SCQKF)算法应用到SINS的大失准角初始对准仿真中,结果表明,7th-SCQKF比7th-MSSRCKF的滤波精度高,验证了新算法的正确性和有效性。

关 键 词:SINS  正交卡尔曼滤波  高阶滤波  简化CKF算法  
收稿时间:2017-10-09

A Seventh Degree Simplified CQKF and Its Application in SINS Initial Alignment of Misalignment Angle
MENG Dong,MIAO Ling juan,SHAO Hai jun,SHEN Jun.A Seventh Degree Simplified CQKF and Its Application in SINS Initial Alignment of Misalignment Angle[J].Journal of Astronautics,2018,39(8):905-912.
Authors:MENG Dong  MIAO Ling juan  SHAO Hai jun  SHEN Jun
Affiliation:School of Automation, Beijing Institute of Technology, Beijing 100081, China
Abstract:A seventh-degree orthogonal simplified cubature Kalman filter algorithm (7th-SCQKF) is proposed for the initial alignment of a strapdown inertial navigation system (SINS). According to the simplified CKF theory, this paper introduces the improved seventh-order simplified CKF algorithm (7th-MSSRCKF), which improves the performance of the original seventh-degree simplified CKF (7th-SSRCKF). At the same time, on the basis of the 7th-SSRCKF and 7th-MSSRCKF, the 7th-SCQKF is proposed to improve the filtering accuracy. In the meantime, the seventh-degree simplified CQKF (7th-SCQKF) algorithm is applied to SINS’s large misalignment angle initial alignment simulation. It is proved that the filtering accuracy of the 7th-SCQKF is higher than that of the 7th-MSSRCKF, which verifies the correctness and validity of the new algorithm.
Keywords:SINS  Orthogonal Kalman filter  High degree filtering  Simplified CKF algorithm  
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