针对目标跟踪中的目标机动问题提出了一种"基于自适应相互作用多模型"的算法.使用不同的几个子模型来描述目标的运动状态,各个模型有自己的随目标估计状态和当前测量值变化的模型概率,并且各模型之间能通过马尔可夫链的控制自动平滑切换.仿真实验表明了该算法能很好地适应目标的机动,即使采用两个子模型来描述目标的运动,跟踪精度也比较好.

In order to resolve the maneuvering problem in target tracking,an algorithm based on interacting multiple model(IMM) method was presented.In this method every sub-model has its own model match probability that changes with the target's estimated state and measures.The sub-model can soft-jump between each other under the control of Markovian switching coefficients.From simulation it can be seen that the IMM method can improve the tracking accuracy of maneuvering targets.