针对融合交互式多模型和粒子滤波,提出了一种采用多速率方法的交互式多模型粒子滤波(MRIMMPF)算法.该算法采用多模型结构来跟踪任意机动的目标,各模型采用粒子滤波,以处理非线性、非高斯问题.但是粒子滤波的问题是计算量过大,特别是应用到IMM算法时,多速率方法则可以在保证算法性能的同时解决此问题.仿真结果表明,MRIMMPF算法在性能上明显优于交互多模型粒子滤波(IMMPF)算法,具有较小的计算量.
In this paper,combining interacting multiple model with particle filter,a new interacting multiple model particle filter algorithm which adopts the multi-rate technique is presented.The algorithm used the multiple models to track arbitrary maneuvering of the target.Every model used particle filter to deal with the nonlinear and non-Gaussian problems.But the problem of a particle filter is its expensive computation,especially when it is introduced into the IMM algorithm.Here,the multi-rate technique is to so...