模型集和IMM自适应的目标跟踪算法

Target Tracking Algorithm that Both Model Set and IMM are Adaptive

本文在仿真试验和理论分析基础上,首先给出了一种自适应IMM算法。再根据变结构IMM思想,把该算法与具体的运动模型相结合,提出了模型集和IMM算法都是自适应的机动目标跟踪方法。该方法在模式空间连续的情况下,模型集合逐步收敛到给定的范围内。文中给出了两种方法的具体实现步骤,并对文[6]中的AGIMM方法作了修正。仿真试验中把两种方法分别与传统的IMM算法和文[6]的方法进行了比较,结果表明在目标机动情况下,两种方法在性能上均有不同程度的提高,从而证明了本文所提算法的有效性。

On the basis of simulation and theoretical analysis,a self-adaptive IMM algorithm is firstly presented in the paper. And then by combining the algorithm with concrete motion model according to the idea of variable structure IMM, it is proposed that both model set and IMM algorithm are self-adaptive tracking algorithm for maneuvering target. In the algorithm if mode space is continual .model set converges gradually to the given range. The paper gives the concrete procedures for the two algorithms' realization and revises the AGIMM algorithm in literature (6). In the simulation test,the two algorithms are compared respectively with traditional IMM algorithm and that in literature (6). The result shows that,when the target is maneuvering,the performance of the two algorithms is improved to a certain extent. So it is proven that the algorithms proposed in this paper are effective.