LU Xin-dong, HU Zhen-tao, LIU Xian-xing, et al. Maneuvering target tracking algorithm based on IMM multi-sensor sequential particle filtering[J]. 2012, 31(4): 130-132+136.
LU Xin-dong, HU Zhen-tao, LIU Xian-xing, et al. Maneuvering target tracking algorithm based on IMM multi-sensor sequential particle filtering[J]. 2012, 31(4): 130-132+136. DOI: 10.13873/j.1000-97872012.04.027.
Aiming at the precision of the interacting multiple models(IMM) with particle filtering is restricted in tracking maneuvering target
a new IMM which adopts the multi-sensor sequential particle filtering algorithm is proposed.In the novel algorithm
the IMM mechanism is used to confirm the motion pattern of target.Based on utilization of the redundancy and complementary measurement information from the single sensor and multi-sensor
a sequential re-sampling method is used to optimize the distribution of particles and integrated into the IMM with particle filtering.Simulation results show that the new algorithm can estimate the state of the maneuvering target well and is superior to the standard IMM with particle filtering algorithm in the precision.