Title :
A variable-structure IMM filtering algorithm based on current statistical model
Author :
Li, Xiangnan ; Qin, Zheng ; Guo, Ronghua ; Li, Guobing
Author_Institution :
Sch. of Software, Tsinghua Univ., Beijing, China
Abstract :
A new variable-structure IMM method for maneuvering target tracking using current statistical model is presented. The maximum acceleration a design parameter in current statistical model, is used to design various motion models. The model set adaptation logic according to the maximum acceleration variety is also proposed in the paper. Simulation shows that the performance of new method is superior to the fixed structure IMM algorithm when target maneuver is intense.
Keywords :
estimation theory; filtering theory; radar signal processing; statistics; target tracking; interacting multiple model filter; maximum acceleration; model set adaptation logic; statistical model; target tracking; variable structure IMM filtering algorithm; Acceleration; Adaptation model; Automation; Covariance matrix; Filtering algorithms; Filters; Gaussian noise; Mechatronics; Motion estimation; Target tracking; Current statistical model; Maneuvering target tracking; Variable-structure IMM filtering;
Conference_Titel :
Mechatronics and Automation, 2009. ICMA 2009. International Conference on
Conference_Location :
Changchun
Print_ISBN :
978-1-4244-2692-8
Electronic_ISBN :
978-1-4244-2693-5
DOI :
10.1109/ICMA.2009.5246036
