[1] Mu S S, Qiao C. Ground-target geo-location method based on extended Kalman filtering for small-scale airborne electro-optical platform[J]. Acta Optica Sinica, 39, 0528001(2019).

[2] Li K, Li X F, Yang F. Improvement and application of IMM-UKF algorithm in two coordinate radar-optoelectronic fusion tracking system[J]. Laser & Optoelectronics Progress, 53, 122501(2016).

[3] Guo L R, Hu Y H, Wang Y P et al. Laser micro-motion parameter estimation of high-order moving target based on improved particle filter[J]. Acta Optica Sinica, 38, 0912006(2018).

[4] Zhang T X, Zhou J, Liao H L et al. Simultaneous localization and mapping strategy of graph optimization based on three-dimensional laser[J]. Laser & Optoelectronics Progress, 56, 201502(2019).

[5] Li L Q, Ji H B, Luo J H. The iterated extended Kalman particle filter[C]. //IEEE International Symposium on Communicationsand Information Technology, October 12-14, 2005, Beijing, China., 1213-1216(2005).

[6] Xu Y, Chen X, Li Q. Adaptive iterated extended Kalman filter and its application to autonomous integrated navigation for indoor robot[J]. The Scientific World Journal, 2014, 138548(2014).

[7] Xu D J, Wu Z M, Huang Y L. A new adaptive Kalman filter with inaccurate noise statistics[J]. Circuits, Systems, and Signal Processing, 38, 4380-4404(2019). http://link.springer.com/article/10.1007/s00034-019-01053-w

[8] Huang Y L, Zhang Y G, Wu Z M et al. A novel adaptive Kalman filter with inaccurate process and measurement noise covariance matrices[J]. IEEE Transactions on Automatic Control, 63, 594-601(2018). http://ieeexplore.ieee.org/document/8025799/

[9] Liang Y P, Dai J H, Wang K Q et al. A strong tracking SLAM algorithm based on the suboptimal fading factor[J]. Journal of Sensors, 2018, 1-14(2018).

[10] Zhou D H, Xi Y G, Zhang Z J. A suboptimal multiple fading extended Kalman filter[J]. Acta Automatica Sinica, 17, 689-695, 758(1991).

[11] Gao W, Li J C, Ben Y Y et al. Adaptive Kalman filter based on multiple fading factors[J]. Systems Engineering and Electronics, 36, 1405-1409(2014).

[12] Qian H M, Ge L, Huang W. An improved strong tracking filtering algorithm[J]. Journal of Applied Sciences, 33, 32-40(2015).

[13] Gao W, Li J C, Zhou G T et al. Adaptive Kalman filtering with recursive noise estimator for integrated SINS/DVL systems[J]. Journal of Navigation, 68, 142-161(2015).

[14] Xue H J, Guo X S, Zhou Z F. SINS initial alignment method based on adaptive multiple fading factors Kalman filter[J]. Systems Engineering and Electronics, 39, 620-626(2017).

[15] Guo S L, Wu M, Xu J N et al. Adaptive fading Kalman filter and its application in SINS initial alignment[J]. Geomatics and Information Science of Wuhan University, 43, 1667-1672, 1680(2018).

[16] Guan X, Lü Z J, Xu X F. Location algorithm of AIEKF based on non-cooperative illuminator[J]. Fire Control & Command Control, 43, 37-40, 46(2018).

[17] Jøsang A. A logic for uncertain probabilities[J]. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 9, 279-311(2001).

[18] Picinbono B. Second-order complex random vectors and normal distributions[J]. IEEE Transactions on Signal Processing, 44, 2637-2640(1996). http://search.ebscohost.com/login.aspx?direct=true&db=aph&AN=9708045011&site=ehost-live

[19] Chang G B. Robust Kalman filtering based on Mahalanobis distance as outlier judging criterion[J]. Journal of Geodesy, 88, 391-401(2014). http://link.springer.com/article/10.1007/s00190-013-0690-8

[20] Huang X P, Wang Y[M]. Kalman filtering principle and application, 77-118(2015).