Citation: | XIA Xiaohu, LIU Ming. Unified Constrained Cascade Interactive Multi-model Filter and Its Application in Tracking of Manoeuvring Target[J]. Journal of Electronics & Information Technology, 2017, 39(1): 117-123. doi: 10.11999/JEIT160384 |
YANG Jinlong, JI Hongling, and FAN Zhenhua. Probability hypothesis density filter based on strong tracking MIE for multiple maneuvering targets tracking[J]. International Journal of Control, Automation and Systems, 2013, 11(2): 306-316.
|
LI Bo. Multiple-model Rao-Blackwellized particle CPHD filter for multi-target tracking[J]. Nonlinear Dynamics, 2015, 79(3): 2133-2143.
|
LIU Meiqin, ZHANG Di, and ZHANG Senlin. Bearing-only target tracking using cubature rauch-tung-striebel smoother [C]. 34th Chinese Control Conference, Hangzhou, China, 2015: 4734-4738.
|
EVERS C, MOORE A H, NAYLOR P A, et al. Bearing- only acoustic tracking of moving speakers for robot audition [C]. IEEE International Conference on Digital Signal Processing, Singapore, 2015: 1206-1210.
|
BECKER S, MUNCH D, KIERITZ H, et al. Detecting abandoned objects using interacting multiple models[J]. SPIE, 2015, 96520. doi: 10.1117/12.2195224.
|
SABORDO M G and ABOUTANIOS E. Enhanced performance for the interacting multiple model estimator with integrated multiple filters[J]. SPIE, 2015, 94600: 345-349. doi: 10.1117/12.2176180.
|
MABROUK M B, GRIVEL E, MAGNANT C, et al. Compensating power amplifier distortion in cognitive radio systems with adaptive interacting multiple model[C]. 23rd European Signal Processing Conference (EUSIPCO), Nice, France, 2015: 1212-1216.
|
HUANG H, YANG R, NG G W, et al. Helicopter tracking and classification with multiple interacting multiple model estimator with out-of-sequence acoustic and EO measurements[C]. 19th International Conference on Information Fusion (FUSION), Heidelberg, Germany, 2016: 1132-1139.
|
KIM T H and MOON K R. Variable-structured interacting multiple model algorithm for the ballistic coefficient estimation of a re-entry ballistic target[J]. International Journal of Control, Automation, and systems, 2013, 11(6): 1204-1213.
|
ZHU Zhengwei. Ship-borne radar maneuvering target tracking based on the variable structure adaptive grid interacting multiple model[J]. Journal of Zhejiang University SCIENCE C, 2013, 14(9): 733-742.
|
ZHANG Yuan, GUO Chen, HU Hai, et al. An algorithm of the adaptive grid and fuzzy interacting multiple models[J]. Journal of Marine Science and Application, 2014, 13(3): 340-345.
|
DAN S and TIEN L C. Kalman filtering with state equality constraints[J]. IET Control Theory and Applications, 2010, 4(8): 1303-1318.
|
HARTIKAINEN J, SOLIN A, and SARKKA S. Optimal filtering with kalman filters and smoothers a manual for the MATLAB toolbox EKF/UKF[R]. 2011.
|
盛骤, 等. 概率论与数理统计[M]. 北京: 高等教育出版社, 1989: 73-75.
|
SHENG Zhou, et al. Probability and Statistics[M]. Beijing: High, Education Press, 1989: 73-75.
|
CHIA T. Parameter identification and state estimation of constrained systems[D]. [Ph.D. dissertation], Case Western Reserve University, 1985, 17-25.
|
KO S and BITMEAD R. State estimation for linear systems with state equality constraints[J]. Automatica, 2007, 43(8): 1363-1368.
|
SHIMADA N, SHIRAI Y, KUNO Y, et al. Hand gesture estimation and model refinement using monocular camera- ambiguity limitation by inequality constraints[C]. IEEE International Conference on Automatic Face Gesture Recognition, Japan, 1998: 268-273.
|
SIMON D and SIMON D L. Constrained Kalman filtering via density function truncation for turbofan engine health estimation[J]. International Journal of System Science, 2010, 41(2): 159-171.
|
DE GEETER J, VAN BRUSSEL H, and DE SCHUTTER J. A smoothly constrained Kalman filter[J]. IEEE Transactions on Pattern Analysis Machine Intelligence, 1997, 19(10): 1171-1177.
|
GOODWIN G, SERON M, and DE DONA J. Constrained control and estimation[M]. Berlin: Springer-Verlag, 2005: 251-262.
|
JULIER S and UHLMANN J. Unscented filtering and nonlinear estimation[J]. Proceedings of the IEEE, 2004, 92(3): 401-422.
|