Anti-interference self-alignment algorithm by attitude optimization estimation for SINS on a rocking base  

作　　者：XUE Haijian WANG Tao CAI Xinghui WANG Jintao LIU Fei 

机构地区：[1]High-Tech Institute of Xi’an,Xi’an 710025,China [2]Military Representative Office of Rocket Army Equipment Department,Qingdao 266071,China

出　　处：《Journal of Systems Engineering and Electronics》2023年第5期1333-1342,共10页系统工程与电子技术（英文版）

基　　金：supported by the National Natural Science Foundation of China(41174162).

摘　　要：The performance of a strapdown inertial navigation system(SINS)largely depends on the accuracy and rapidness of the initial alignment.A novel anti-interference self-alignment algorithm by attitude optimization estimation for SINS on a rocking base is presented in this paper.The algorithm transforms the initial alignment into the initial attitude determination problem by using infinite vector observations to remove the angular motions,the SINS alignment is heuristically established as an optimiza-tion problem of finding the minimum eigenvector.In order to further improve the alignment precision,an adaptive recursive weighted least squares(ARWLS)curve fitting algorithm is used to fit the translational motion interference-contaminated reference vectors according to their time domain characteristics.Simulation studies and experimental results favorably demonstrate its rapidness,accuracy and robustness.

关 键 词：strapdown inertial navigation system(SINS) initial alignment ANTI-INTERFERENCE rocking base adaptive recursive weighted least squares(ARWLS) 

分 类 号：TN96[电子电信—信号与信息处理]