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2000                            武 汉 大 学 学 报  (信 息 科 学 版)                       2025 年 10 月

                     Adaptive  Kalman  Filter  Algorithm  Based  on  Expo‑  Model  Is  Misspecified[J].   Journal  of  Geodesy,
                     nential  Attenuating  Factor  for  Integrated  Navigation   2021, 95(9): 108.
                     System[J].  Journal of Chinese Inertial Technology,   [26]  DING W D,WANG J L,RIZOS C,et al. Improving
                     2021, 29(3): 307-313.                           Adaptive  Kalman  Estimation  in  GPS/INS  Integra‑
                [21]  靳凯迪, 柴洪洲, 宿楚涵, 等 .  基于可变遗忘因子                   tion[J].   Journal  of  Navigation,  2007,  60(3):
                     的渐消记忆变分贝叶斯自适应滤波算法[J].  北京                       517-529.
                     航空航天大学学报, 2023, 49(11): 2989-2999.         [27]  高为广 , 陈谷仓 .  结合自适应滤波和神经网络的
                     JIN  Kaidi,  CHAI  Hongzhou,  SU  Chuhan,  et  al.    GNSS/INS 抗差组合导航算法[J].  武汉大学学报
                     Fading  Memory  Variational  Bayesian  Adaptive  Fil‑  (信息科学版), 2014, 39(11): 1323-1328.
                     ter Based on Variable Attenuating Factor[J].  Jour‑  GAO  Weiguang,  CHEN  Gucang.   Integrated
                     nal  of  Beijing  University  of  Aeronautics  and  Astro‑  GNSS/INS  Navigation  Algorithms  Combining
                     nautics, 2023, 49(11): 2989-2999.               Adaptive Filter with Neural Network[J].  Geomatics
                [22]  蒋锐, 李俊, 徐友云, 等 .  基于联邦卡尔曼滤波器                   and  Information  Science  of  Wuhan  University,
                     的 容 错 GPS-AOA-SINS 组 合 导 航 算 法[J].  通 信         2014, 39(11): 1323-1328.
                     学报, 2022, 43(8): 78-89.                    [28]  CHENG  G  B.   Kalman  Filter  with  Both  Adaptivity
                     JIANG Rui,LI Jun,XU Youyun,et al. Fault Tolerant   and  Robustness[J].   Journal  of  Process  Control,
                     GPS-AOA-SINS  Integrated  Navigation  Algorithm   2014, 24(3): 81-87.
                     Based  on  Federated  Kalman  Filter[J].   Journal  on   [29]  HUBER P J, RONCHETTI E M.  Robust Statistics
                     Communications, 2022, 43(8): 78-89.             [M].  New York: Wiley, 2009.
                [23]  肖进丽, 潘正风, 黄声享 .  GPS/INS 组合导航系统           [30]  ZHANG  C,  ZHAO  X  B,  PANG  C  L,  et  al.   Im‑
                     数据同步处理方法研究[J].  武汉大学学报 ( 信息                     proved Fault Detection Method Based on Robust Es‑
                     科学版), 2008, 33(7): 715-717.                     timation  and  Sliding  Window  Test  for  INS/GNSS
                     XIAO Jinli,PAN Zhengfeng,HUANG Shengxiang.      Integration[J].   Journal  of  Navigation,  2020,  73
                     Data Synchronization Method of GPS/INS Integrated   (4): 776-796.
                     Navigation  System[J].   Geomatics  and  Information   [31]  刘韬, 徐爱功, 隋心, 等 .  新息向量的抗差 Kalman
                     Science  of  Wuhan  University,  2008,  33 (7) :   滤波方法及其在 UWB 室内导航中的应用[J].  武汉
                     715-717.                                        大学学报(信息科学版), 2019, 44(2): 233-239.
                [24]  李彦杰, 杨元喜, 何海波 .  附加约束条件对 GNSS/                 LIU  Tao,  XU  Aigong,  SUI  Xin,  et  al.   An  Im‑
                     INS 组合导航结果的影响分析[J].  武汉大学学报                     proved  Robust  Kalman  Filtering  Method  Based  on
                    (信息科学版), 2017, 42(9): 1249-1255.                 Innovation and Its Application in UWB Indoor Navi‑
                     LI  Yanjie,  YANG  Yuanxi,  HE  Haibo.   Effects   gation[J].   Geomatics  and  Information  Science  of
                     Analysis  of  Constraints  on  GNSS/INS  Integrated   Wuhan University, 2019, 44(2): 233-239.
                     Navigation[J].   Geomatics  and  Information  Science   [32]  YANG Z H, LI Z K, LIU Z, et al.  Improved Ro‑
                     of Wuhan University, 2017, 42(9): 1249-1255.    bust  and  Adaptive  Filter  Based  on  Non-Holonomic
                [25]  TEUNISSEN  P  J  G,  KHODABANDEH  A,           Constraints  for  RTK/INS  Integrated  Navigation
                     PSYCHAS  D.   A  Generalized  Kalman  Filter  with   [J].   Measurement  Science  and  Technology,  2021,
                     Its Precision in Recursive Form when the Stochastic   32(10): 105110.
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