本文提出了一种基于最小二乘估计的强跟踪滤波器 (STF)单重渐消因子求解方法 .从参数自适应与模型自适应有机结合的角度出发 ,将STF与交互式多模型算法 (IMM)相结合 ,设计了强跟踪交互式多模型估计器(STMME) .仿真表明 :STMME在跟踪机动目标时 ,对速度 ,加速度的跟踪精度明显优于传统的IMM ,在自适应估计领域有着较好的应用前景 In this paper, we propose a method to solve the single tracking factor of strong tracking filter (STF) based on least-squares estimation.From the point of view of the combination of parameter adaptation and model adaptation, the STF and the interactive multi-model algorithm (IMM ), A strong tracking interactive multi-model estimator (STMME) is designed.The simulation results show that the tracking accuracy of STMME is superior to traditional IMM in tracking maneuvering targets, and it is better in the field of adaptive estimation The application prospects