[1] ITO K, XIONG K. Gaussian filters for nonlinear filtering problems［J］. IEEE Transactions on Automatic Control, 2000, 45(5):910-927.

[2] BUCY R S, SENNE K D.Digital synthesis of non-linear filters［J］.Digital Synthesis of Non-linear Filters, 1971, 7(3):287-298.

[3] ATHANS M, WISHNER R, BERTOLINI A.Suboptimal state estimation for continuous-time nonlinear systems from discrete noisy measurements［J］.IEEE Transactions on Automatic Control, 1968, 13(5):504-514.

[4] JULIER S J, UHLMANN J K.Unscented filtering and nonlinear estimation［J］.Proceedings of the IEEE, 2004, 92(3):401-422.

[5] 孙枫, 唐李军. Cubature卡尔曼滤波与Unscented卡尔曼滤波估计精度比较［J］.控制与决策, 2013, 28(2):303-308.

[6] 徐景硕, 王勇军, 刘亚. 大失准角情形下UKF与CKF的比较研究［J］.电光与控制, 2017, 24(9):42-46.

[7] ARASARATNAM I, HAYKIN S.Cubature Kalman filters［J］. IEEE Transactions on Automatic Control, 2009, 54(6):1254-1269.

[8] 张龙, 崔乃刚, 杨峰, 等. 高阶容积卡尔曼滤波及其在目标跟踪中的应用［J］.哈尔滨工程大学学报, 2016, 37(4): 573-578.

[9] 黄璜,林浩申,何兵.自适应容积卡尔曼滤波在空间机动目标跟踪中的应用［J］.电光与控制, 2015, 22(6):56-59.

[10] LIU J, CAI B G, TANG T, et al. A CKF based GNSS/INS train integrated positioning method［C］//International Conference on Mechatronics and Automation, 2010:1686-1689.

[11] ZHANG X C, GUO C J.Cubature Kalman filters:derivation and extension［J］. Chinese Physics B, 2013, 22(12):497-502.

[12] 刘华,缪晨,吴文.平方根嵌入式容积卡尔曼粒子滤波算法［J］.南京理工大学学报: 自然科学版, 2015(4): 471-476.

[13] 管冰蕾, 汤显峰, 葛泉波. 未知测量噪声方差的平方根高阶容积Kalman滤波［J］.计算机应用研究, 2015(9): 2626-2629.

[14] SAGE A P, HUSA G W. Adaptive filtering with unknown prior statistics［C］//Proceedings of Joint Automatic Control Conference, 1969:760-769.

[15] 石勇, 韩崇昭.自适应UKF算法在目标跟踪中的应用［J］.自动化学报, 2011, 37(6):755-759.