交互式多模型算法中模型集选择的分析研究

Analysis and Study of Model Set Selection in Interacting Multiple Model Algrithm

分析研究了交互式多模型算法中的模型集的选择问题。首先,从理论上对模型集选择进行了分析,讨论了模型集中不匹配模型对轨迹预测性能的影响,并提出一种自适应(ACT)模型集;然后通过仿真试验,验证了模型集选择的理论分析,并证明了交互式多模型算法采用自适应(ACT)模型集的优越性。

The model set selection in interacting multiple model algorithm are analyzed and stadied. First, the model set selection in theory are analyzed, and the mismatched model's effects on the track prediction performance are studied. Then, an adaptive coordinated turn model set are presented.After Monte Carlo simulation, it validated the theory analyse, and proves the IMM algorithm which adopts the adaptive coordinated turn model set to be superior.