基于AVSIMM算法的高超声速再入滑翔目标跟踪

针对跟踪高超声速目标的交互式多模型（IMM）算法中存在模型数量过多，模型之间竞争导致滤波精度降低的问题，在自适应网格交互式多模型（AGIMM）算法的基础上，提出了一种自适应变结构交互式多模型（AVSIMM）算法跟踪高超声速再入滑翔目标。根据高超声速无动力再入滑翔目标当前机动状态的角速度参数，在自适应调整当前时刻模型集中参数的同时，针对AGIMM算法运动学模型的单一性，设计了具有多种跟踪滤波运动学模型的AVSIMM算法，通过模型集参数与算法结构的双重自适应调整实现了对目标高精度的跟踪。仿真结果表明，与AGIMM算法相比，所设计的AVSIMM算法不仅对结构和参数都具有更强的自适应性，同时提高了高超目标的跟踪精度和跟踪效率。 

Hypersonic reentry gliding target tracking based on AVSIMM algorithm

Aimed at the decrease of filtering accuracy caused by too many models and competitions between them in interactive multi-model (IMM) algorithm for tracking hypersonic targets, an adaptive variable structure interactive multi-model (AVSIMM) algorithm is proposed based on adaptive grid IMM (AGIMM) algorithm for tracking hypersonic non-powered reentry gliding targets. Based on the angular velocity parameters of the real-time maneuvering state of gliding hypersonic target without power load, AVSIMM algorithm with various dynamitic models is designed to focus on the unicity of models in AGIMM algorithm. AVSIMM algorithm realizes high-precision tracking through adaptive adjustments in both model set parameters and algorithm structure. Simulation results show that, compared with AGIMM algorithm, the designed AVSIMM algorithm not only is more adaptive in structure and parameters but also improves accuracy and efficiency in tracking hypersonic targets.