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[1]Aichen,Wang,Jinyang,Li,Xiyuan,Chen,Xinhua,Wei. Robust cubature Kalman filter based on variational Bayesian and transformed posterior sigma points error [Journal Paper]. ISA Transactions, 2019, 86: 18-28
[2]Xinhua,Tang. Robust cubature Kalman filter for GNSS/INS with missing observations and colored measurement noise [Journal Paper]. ISA Transactions, 2018, 72: 138-146
[3]Xinhua,Tang. Improved cubature Kalman filter for GNSS/INS based on transformation of posterior sigma-points error [Journal Paper]. IEEE Transactions on Signal Processing, 2017, 65(11): 2975-2987
[4]etc,Yuan,Xu. Performance analysis of improved iterated cubature Kalman filter and its application to GNSS/INS [Journal Paper]. ISA Transactions, 2017, 66: 460-468
[5] Efficient modeling of fiber optic gyroscope drift using improved EEMD and extreme learning machine [Journal Paper]. Signal Processing, 2016, 128: 1-7
[6] Improved hybrid filter for fiber optic gyroscope signal denoising based on EMD and forward linear prediction [Journal Paper]. Sensors and Actuators A-Physical, 2015, 230: 150-155
[7]宋锐. EMD阈值滤波在光纤陀螺漂移信号去噪中的应用 [Journal Paper]. 光学学报, 2015, 35(2): 0207001
[8] 光纤陀螺温度漂移的多尺度集成建模研究 [Journal Paper]. 仪器仪表学报, 2015, 36(2): 304-309
[9] A comparison analysis of multipath extract methods in short- baseline applications of GPS [Journal Paper]. 东南大学学报, 2014, 30(3): 315-317
[10] 基于经验模态概率分布的光纤陀螺信号处理 [Journal Paper]. 中国惯性技术学报, 2015, 23(5): 690-695
[11] 基于一种改进EMD算法的GPS多径效应抑制方法 [Journal Paper]. 中国惯性技术学报, 2014, 22(3): 346-351
[12]Xiyuan,Chen,Xinhua,Wei. Comparison of sigma-point update framework in cubature Kalman filter for tightly coupled GNSS/INS [Conference Paper]. Proceedings of 2018 IEEE Chinese Guidance, Navigation and Control Conference (CGNCC 2018), Xiamen, China, 2018,
[13]Haoqian,Huang. Iterated square root cubature Kalman filter with application to tightly coupled GNSS/INS [Conference Paper]. Proceedings of 2016 IEEE Chinese Guidance, Navigation and Control Conference (CGNCC 2016), Nanjing, China, 2016,
[14]Chuanye,Tang. Efficient ensemble modeling method of FOG thermal-induced errors based on EEMD and extreme learning machine [Conference Paper]. 2th IEEE International Workshop on Metrology for Aerospace, Benevento, Italy, 2015,
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