[1] 鲍小雨,王庆,阳媛,等. 一种抑制NLOS误差的UWB定位方法[J]. 传感器与微系统,2019,38(9):9-12. Bao Xiaoyu,Wang Qing,Yang Yuan,et al. A UWB localization method to suppress NLOS error[J]. Sensors and Microsystems,2019,38(9):9-12. [2] 王孜洲,臧利国,唐一鸣. UWB精确定位自适应无迹卡尔曼滤波算法[J]. 农业装备与车辆工程,2021,59(5):24-28. Wang Zizhou,Zang Liguo,Tang Yiming. Adaptive unscented Kalman filter algorithm for UWB precise positioning[J]. Agricultural Equipment and Vehicle Engineering,2021,59(5):24-28. [3] 李旭虹,张同丽,张育芝. 矿井NLOS环境下改进UKF超宽带定位算法[J]. 西安科技大学学报,2018,38(5):824-829. Li Xuhong,Zhang Tongli,Zhang Yuzhi. Improved UKF ultra-wideband localization algorithm in mine NLOS environment[J]. Journal of Xi' an University of Science and Technology,2018,38(5):824-829. [4] Wang Weigang,Zhang Yunwei,Tian Longbin. TOA-based NLOS errormitigational gorithm for 3D indoor localization[J]. China Communications,2020,17(1):63-72. [5] 邵小强,李康乐,陈熙,等. 基于改进卡尔曼滤波和参数拟合的矿井TOA定位方法[J]. 煤炭学报,2019,44(5):1616-1624. Shao Xiaoqiang,Li Kangle,Chen Xi,et al. Mine TOA localization method based on improved Kalman filter and parameter fitting[J]. Journal of Coal,2019,44(5):1616-1624. [6] 纪元法,杨政权,孙希延,等. 基于信道特征的超宽带非视距鉴别及定位算法[J]. 科学技术与工程,2018,18(19):66-71. Ji Yuanfa,Yang Zhengquan,Sun Xiyan,et al. Ultra-wideband non-line-of-sight identification and localization algorithm based on channel characteristics[J]. Science and Technology and Engineering,2018,18(19):66-71. [7] 杨随虎. UWB定位系统中NLOS识别的若干参数分 析[J]. 电子技术与软件工程,2015(14):36-38. Yang Suihu. Analysis of several parameters of NLOS recognition in UWB positioning system[J]. Electronic Technology and Software Engineering,2015(14):36-38. [8] 刘金海,王勃凡,周龙,等. 基于UWB技术实现自动跟随小车设计[J]. 农业装备与车辆工程,2019,57(12):8-12. Liu Jinhai,Wang Bofan,Zhou Long,et al. Design of automatic following car based on UWB technology[J]. Agricultural Equipment and Vehicle Engineering,2019,57(12):8-12. [9] 王嫣,常晓鹏,张建平. 基于EKF算法的UWB和ZigBee测量技术的混合运动目标定位[J]. 应用科学学报,2019,37(6):815-824. Wang Yan,Chang Xiaopeng,Zhang Jianping. UWB and ZigBee measurement technology based on EKF algorithm for hybrid moving target localization[J]. Chinese Journal of Applied Science,2019,37(6):815-824. [10] Su Tingli,Tang Zhenyun,Peng Lingyun,et al. Model updating for real time dynamic substructures based on UKF algorithm[J]. Earthquake Engineering and Engineering Vibration,2020,19(2):413-421. [11] 王璐,刘忠. 基于自适应迭代UKF的纯距离目标定位算法[J]. 中南大学学报,2016,47(2):503-507. Wang Lu,Liu Zhong. A pure distance target localization algorithm based on adaptive iterative UKF[J]. Journal of Central South University,2016,47(2):503-507. [12] 高为广,何海波,陈金平. 自适应UKF算法及其在GPS/INS组合导航中的应用[J]. 北京理工大学学报,2008(6):505-509. Gao Weiguang,He Haibo,Chen Jinping. Adaptive UKF algorithm and its application in GPS/INS integrated navigation[J]. Journal of Beijing Institute of Technology,2008(6):505-509. [13] 刘韬,徐爱功,隋心. 自适应抗差KF-UKF的超宽带导航定位方法[J]. 测绘科学,2017,42(12):104-111. Liu Tao,Xu Aigong,Sui Xin. Ultra-wideband navigation and positioning method based on adaptive robustness KF-UKF[J]. Surveying and Mapping Science,2017,42(12):104-111. [14] 樊龙江,陈安升,陈帅,等. 自适应UKF在北斗定位算法中的应用[J]. 导航与控制,2019,18(4):95-101. FAN Longjiang,CHEN Ansheng,CHEN Shuai,et al. Application of adaptive UKF in beidou positioning algorithm[J]. Navigation and Control,2019,18(4):95-101. [15] HASHEMI E H,KHOSRAVANI S K,KHAJEPOUR A K,et al. Longitudinal vehicle state estimation using nonlinear and parameter-vary in gob servers[J]. Mechatronics,2017,43:28-39. [16] Guo H,Yin Z,Cao D,et al. Are view of estimation for vehicle tire-road interactions toward automated driving[J]. IEEE Transactions on Systems,Man,and Cybernetics:Systems,2018,49(1):14-30. [17] 李刚,赵德阳,解瑞春,等. 基于改进的Sage-Husa自适应扩展卡尔曼滤波的车辆状态估计[J]. 汽车工程,2015,37(12):1426-1432. Li Gang,Zhao Deyang,Xie Ruichun,et al. Vehicle state estimation based on improved sage-husa adaptive extended Kalman filter[J]. Automotive Engineering,2015,37(12):1426-1432. [18] 罗凯鑫. 基于最大熵鲁棒自适应滤波的水下组合导航方法研究[D]. 哈尔滨:哈尔滨工程大学,2019. Luo Kaixin. Research on underwater integrated navigation method based on maximum entropy robust adaptive filtering[D]. Harbin:Harbin Engineering University,2019. [19] Li X R,Bar Shalom Y. Are-cursive multiple model approach to noise identification[J]. IEEE Transactions on Aerospace and Electronic Systems,1994,30(3):671-684. [20] Wang Z,Qin Y,Gu L,et al. Vehicle system state estimation based on adaptive unscented Kalman filtering combing with road classification[J]. IEEE Access,2017,5:27786-27799. [21] Hou J,Yang Y,He H,et al. Adaptive dual extended kalman filter based on variegation bayesian approximation for join testimonial of lithium-ion battery state of charge and model parameters[J]. Applied Sciences,2019,9(9):1726 [22] 阴贺生,裴硕,徐磊,等. 多机器人视觉同时定位与建图技术研究综述[J]. 机械工程学报,2022,58(11):11-36. YIN Hesheng,PEI Shuo,XU Lei,et al. Research review of multi-robot vision simultaneous positioning and mapping technology[J]. Journal of Mechanical Engineering,2022,58(11):11-36. |