刘玉柱,屈蔷,曹东.改进的多传感器信息融合算法及其应用[J].传感器与微系统,2024(07).

董宇,逯暄,彭甫镕,张婷.一种鲁棒的β扩展卡尔曼滤波算法[J].传感器与微系统,2023(03).

邓洪高,马海淘,纪元法,孙希延.改进的Sage-Husa自适应算法及应用[J].计算机仿真,2023(02).

胡文强,胡建鹏,吴飞,陆雯霞.基于EKF的初始状态自适应室内融合定位算法[J].传感器与微系统,2022(11).

马伟,李沅,康健,侯琪,李皓,王丰.基于联邦滤波的偏振光/SINS/BDS/地磁组合导航算法[J].传感器与微系统,2022(02).

李文华,汪立新,沈强,李灿,吴宗收.基于鲁棒EKF的MEMS-INS/GNSS/VO组合导航方法[J].系统工程与电子技术,2022(06).

曾庆化,赵天钰,赵宾,刘建业,朱小灵.基于指数渐消遗忘因子的组合导航自适应滤波算法[J].中国惯性技术学报,2021(03).

严恭敏,邓瑀.传统组合导航中的实用Kalman滤波技术评述[J].导航定位与授时,2020(02).

王毓珺.基于序贯自适应滤波的SINS/GPS组合导航方法[J].电子设计工程,2019(17).

薛海建,郭晓松,周召发.基于自适应多重渐消因子卡尔曼滤波的SINS初始对准方法[J].系统工程与电子技术,2017(03).

Xiao Jiajia,Li Ying,Zhang Chuang,Zhang Zhaoyi.INS/GPS Integrated Navigation for Unmanned Ships Based on EEMD Noise Reduction and SSA-ELM[J].Journal of Marine Science and Engineering,2022.

Shuqing Xu,Haiyin Zhou,Jiongqi Wang,Zhangming He,Dayi Wang.SINS/CNS/GNSS Integrated Navigation Based on an Improved Federated Sage–Husa Adaptive Filter[J].Sensors,2019.

Tao Jiang 0007,Nicholas D. Sidiropoulos,Georgios B. Giannakis.Kalman filtering for power estimation in mobile communications.[J].IEEE Trans. Wireless Communications,2003.