[1] 王勋, 左启耀, 洪诗聘, 陈亮, 杨晓昆. 一种基于卡尔曼滤波的定位解算性能评估新方法. 导航定位与授时, 2018, 5(5): 73−82

1 Wang Xun, Zuo Qi-Yao, Hong Shi-Pin, Chen Liang, Yang Xiao-Kun. A noved evaluation method of positioning resolution performance based on Kalman filtering. Navigation and Timing, 2018, 5(5): 73−82
[2] 黄伟杰, 张国山. 基于快速不变卡尔曼滤波的视觉惯性里程计. 控制与决策, 2018. DOI: 10.13195/j. kzyjc. 2018. 0239

Huang Wei-Jie, Zhang Guo-Shan. Visual-inertial odometer based on fast invariant Kalman filter. Control and Decision, 2018. DOI: 10.13195/j. kzyjc. 2018. 0239
[3] 燕必希, 朱立夫, 董明利, 孙鹏, 王君. 卡尔曼滤波单目相机运动目标定位研究. 仪器仪表学报, 2018, 39(8): 220−229

3 Yan Bi-Xi, Zhu Li-Fu, Dong Ming-Li, Sun Peng, Wang Jun. Research on Kalman filtering in moving target loction with monocular camera. Chinese Journal of Scientific Instrument, 2018, 39(8): 220−229
[4] Kalman, R E, Bucy, R S. New results in linear filtering and prediction Theory. Journal of Basic Engineering ASME Transaction series D, 1960, 83.
[5] 管庆林, 樊春明, 朱正平, 彭飞. 单点定位中一种载波相位平滑伪距方法. 测绘科学, 2019, 44(2): 116−121

5 Guan Qing-Lin, Fan Chun-Ming, Zhu Zheng-Ping, Peng Fei. A carrier phase smoothing pseudorange method in single point positioning. Surveying Science, 2019, 44(2): 116−121
[6] 张悦, 袁莉芬, 何怡刚, 吕密. 基于量子粒子群优化容积卡尔曼滤波的LANDMARC室内定位算法. 电子测量与仪器学报, 2018, 32(2): 72−79

6 Zhang Yue, Yuan Li-Fen, He Yi-Gang, Lv Mi. LANDMARC indoor positioning algorithm based on quantum particle swarm optimization volume Kalman filter. Journal of Electronic Measurement and Instrument, 2018, 32(2): 72−79
[7] 王鼎杰, 孟德利, 李朝阳, 董毅, 吴杰. 抗野值自适应卫星/微惯性组合导航方法. 仪器仪表学报, 2017, 38(12): 2952−2958

7 Wang Ding-Jie, Meng De-Li, Li Chao-Yang, Dong Yi, Wu Jie. Adaptively outlier-restrained GNSS/MEMS-INS integrated navigation method. Chinese Journal of Scientific Instrument, 2017, 38(12): 2952−2958
[8] 刘射德, 陈光武, 王迪, 徐琛. 一种基于GPS/DR/MM组合的列车定位方法研究. 铁道科学与工程学报, 2018, 15(2): 474−482 doi: 10.3969/j.issn.1672-7029.2018.02.027

8 Liu She-De, Chen Guang-Wu, Wang Di, Xu Chen. Train integrated positioning method based on GPS/DR/MM. Journal of Railway Science and Engineering, 2018, 15(2): 474−482 doi: 10.3969/j.issn.1672-7029.2018.02.027
[9] Liu J, Cai B G, Wang J. A GNSS/trackmap cooperative train positioning method for satellite-based train control. In: Proceedings of the 17th International IEEE Conference on Intelligent Transportation Systems (ITSC). Qingdao, China: IEEE, 2014. 2718−2724
[10] 衷路生, 李兵, 龚锦红, 张永贤, 祝振敏. 高速列车非线性模型的极大似然辨识. 自动化学报, 2014, 40(12): 2950−2994

10 Zhong Lu-Sheng, Li Bing, Gong Jin-Hong, Zhang Yong-Xian, Zhu Zhen-Min. Maximum likelihood identification of multiple point model for high-speed electriced multiple units. Acta Automatica Sinica, 2014, 40(12): 2950−2994
[11] 刘江, 蔡伯根, 唐涛, 王剑. 基于GPS与惯性测量单元的列车组合定位系统. 中国铁道科学, 2010, 31(1): 123−129

11 Liu Jiang, Cai Bogen, Tang Tao, Wang Jian. Train integrated positioning system based on GPS and inertial measurement unit. China Railway Science, 2010, 31(1): 123−129
[12] 刘昊, 陈光武, 魏宗寿, 程鉴皓. 改进的最小二乘自适应滤波陀螺仪去噪方法. 仪器仪表学报, 2018, 39(4): 107−114

12 Liu Hao, Chen Guang-Wu, Wei Zong-Shou, Cheng Jian-Wei. An improved least squares adaptive filtering gyroscope denoising method. Chinese Journal of Scientific Instrument, 2018, 39(4): 107−114
[13] 王迪, 陈光武, 杨厅. 一种快速高精度GPS组合定位方法研究. 铁道学报, 2017, 39(2): 67−73 doi: 10.3969/j.issn.1001-8360.2017.02.010

13 Wang Di, Chen Guang-Wu, Yang Ting. Study on a fast and precise GPS integrated positioning method. Journal of the China Railway Society, 2017, 39(2): 67−73 doi: 10.3969/j.issn.1001-8360.2017.02.010
[14] 王迪, 陈光武, 刘射德, 杨扬. 基于GNSS双差定姿的区间列车轨道占用判别方法研究. 铁道学报, 2018, 40(11): 81−87 doi: 10.3969/j.issn.1001-8360.2018.11.011

14 Wang Di, Chen Guang-Wu, Liu She-De, Yang Yang. Study on GNSS double difference attitude determination based train track occupancy discrimination method. Journal of the China Railway Society, 2018, 40(11): 81−87 doi: 10.3969/j.issn.1001-8360.2018.11.011
[15] 张敬堂, 董艳婷, 翟燕. 基于SVM的GPS/DR组合定位算法研究. 信息工程大学学报, 2010, 11(4): 443−447 doi: 10.3969/j.issn.1671-0673.2010.04.014

15 Zhang Jing-Tang, Dong Yan-Ting, Zhai Yan. Study on GPS/DR integratde location method based on SVM. Journal of Information Engineering University, 2010, 11(4): 443−447 doi: 10.3969/j.issn.1671-0673.2010.04.014
[16] Caron F, Duflos E, Vanheeghe P. Introduction of contextual information in a multisensor EKF for autonomous land vehicle positioning. In: Proceedings of the 2005 IEEE Networking, Sensing and Control. Villeneuve d'Ascq, France: IEEE, 2005. 592−597
[17] 17 Yang Y, Chen G W, Wang J W, Li C D. Study on train combination location method based on grey neural network. Journal of Measurement Science and Instrumentation, 2019, 10(2): 143−149
[18] 衷路生, 梁爽, 龚锦红, 张永贤. 基于LS-SVM的高速列车广义非线性模型子空间辨识. 中国科技论文, 2015, 10(19): 2225−2231, 2241 doi: 10.3969/j.issn.2095-2783.2015.19.002

18 Zhong Lu-Sheng, Liang Shuang, Gong Jin-Hong, Zhang Yong-Xian. Subspace identification of generalized nonlinear model for high-speed, using least squares support vector machine. China Science Paper, 2015, 10(19): 2225−2231, 2241 doi: 10.3969/j.issn.2095-2783.2015.19.002
[19] 阎威武, 邵惠鹤. 支持向量机和最小二乘支持向量机的比较及应用研究. 控制与决策, 2003, 18(3): 358−360 doi: 10.3321/j.issn:1001-0920.2003.03.025

19 Yan Wei-Wu, Shao Hui-He. Application of support rector machines and least squares support vector machines to heart disease diagnoses. Control and Decision, 2003, 18(3): 358−360 doi: 10.3321/j.issn:1001-0920.2003.03.025
[20] 徐爱功, 蔡赣飞, 潘峰, 隋心, 郝雨时, 刘韬. RBF神经网络辅助的UWB/INS组合导航算法. 导航定位学报, 2018, 6(3): 41−46 doi: 10.3969/j.issn.2095-4999.2018.03.008

20 Xu Ai-Gong, Cai Gan-Fei, Pan Feng, Sui Xin, Hao Yu-Shi, Liu Wei. RBF neural network aided UWB/INS integrated navigation algorithm. Journal of Nautical Navigation, 2018, 6(3): 41−46 doi: 10.3969/j.issn.2095-4999.2018.03.008
[21] Jiang Z Q, Liu C H, Zhang G, Wang Y P, Huang C K, Liang J Y. GPS/INS integrated navigation based on ukf and simulated annealing optimized SVM. In: Proceedings of the 78th IEEE Vehicular Technology Conference (VTC Fall), Las Vegas, NV, USA: IEEE, 2013. 1−5
[22] 22 Rafael T M, Carlos C C, Javier T M. A multiple-model particle filter fusion algorithm for GNSS/DR slide error detection and compensation. Applied Sciences, 2018, 8(3): 445-1−445-9
[23] 23 Wang S S. A BLE-based pedestrian navigation system for car searching in indoor parking garages. Sensors (Basel, Switzerland), 2018, 18(5): 1442-1−1442-18
[24] 24 Song X, Li X, Tang W C, Zhang W G. RFID/In-vehicle sensors-integrated vehicle positioning strategy utilising LSSVM and federated UKF in a tunnel. Journal of Navigation, 2016, 69(4): 845−868 doi: 10.1017/S0373463315000946
[25] 25 Chen X Y, Xu Y, Li Q H, Tang J, Sheng C. Improving ultrasonic-based seamless navigation for indoor mobile robots utilizing EKF and LS-SVM. Measurement, 2016, 92: 243−251 doi: 10.1016/j.measurement.2016.06.025
[26] Shao Y H, Li C N, Huang L W, Wang Z, Deng N Y, Xu Y. Joint sample and feature selection via sparse primal and dual LSSVM. Knowledge-Based Systems, 2019.
[27] 27 Xue X H, Xiao M. Deformation evaluation on surrounding rocks of underground caverns based on PSO-LSSVM. Tunnelling and Underground Space Technology, 2017, 69(Oct.): 171−181