[1] LIU H,WU W.Interacting multiple model (IMM) fifth-degree spherical simplex-radial cubature Kalman filter for maneuvering target tracking[J].Sensors,2017,17(6):1374.
[2] WANG Y H,CHEN K L,YU J N,et al.Dynamic propagation characteristics estimation and tracking based on an EM-EKF algorithm in time-variant MIMO channel[J].Information Sciences,2017,408:70-83.
[3] YIN Z G,LI G Y,ZHANG Y Q,et al.Symmetric-strong- tracking-extended-Kalman-filter-based sensorless control of induction motor drives for modeling error reduction[J].IEEE Transactions on Industrial Informatics,2019, 15(2):650-662.
[4] ZONG H,GAO Z H,WEI W H,et al.Randomly weighted CKF for multisensor integrated systems[J].Journal of Sensors,2019(6):1216838.
[8] SHEN C,ZHANG Y,GUO X T,et al.Seamless GPS/inertial navigation system based on self-learning square-root cubature Kalman filter[J].IEEE Transactions on Industrial Electronics,2021,68(1):499-508.
[10] GAO Z H,MU D J,ZHONG Y M,et al.Adaptively random weighted cubature Kalman filter for nonlinear systems[J].Mathematical Problems in Engineering,2019 (6):4160847.
[13] MA J,GUO X T.Combination of IMM algorithm and ASTRWCKF for maneuvering target tracking[J].IEEE Access,2020,8:143095-143103.
[14] ZHANG F,MA S P,YU L X,et al.Learning future-aware correlation filters for efficient UAV tracking[J].Remote Sensing,2021,13(20):4111.
[16] HOU S J,XU W B,LIU G.Design of an interacting multiple model-cubature Kalman filter approach for vehicle sideslip angle and tire forces estimation[J].Mathematical Problems in Engineering,2019(6):6087450.