基于融合反馈的算法模块管理在高机动追踪中的应用

High-Maneuvering Target Tracking with Algorithm Module Management Based on Fusion Feedback

以算法模块及算法内部参数的管理为核心,探索并提出新的敏感指标,通过融合反馈的方法来完成高机动追踪。该方法通过敏感指标对融合后的反馈结果的分析,用硬决策的方式完成机动追踪中的滤波器选择,以较少的计算量完成了模型未知的高机动追踪。与传统的IMM算法相比,此算法具有计算量小、模型集少的优点。一个多目标机动追踪实验结果验证了此算法在高机动目标追踪中的优秀表现。

This paper takes the algorithm module and algorithm internal parameter management as the core, and proposes a new sensitive index. And then, a fusion result-based feedback method is presented to attain the high-maneuvering tracking. By analyzing feedback fusion results via the proposed sensitive index, this algorithm chooses the filter by means of hard-decision approach such that a high-maneuvering tracking with unknown model can be finished with relatively less calculation. Compared with the traditional IMM algorithm, the proposed method in this paper has less calculation and less musters of model. A numerical example shows the excellent behavior of the present algorithm in tacking a maneuvering tacking.