基于DS-VSMM的声网络低空机动目标跟踪

Low Altitude Maneuvering Target Tracking with Acoustic Network Based on DS-VSMM

针对低空机动目标的声网络无源跟踪问题,提出一种基于有向图切换的变结构多模型算法。首先,将多个声传感器组网并对其时延的方位角数据进行配准,改善无源声探测网络的融合性能。其次,通过变结构多模型对目标状态进行估计,并利用有向图切换方法对新激活的模型分配权重,跟踪结果为多个模型估计结果的融合输出。通过与交互式多模型算法的仿真比较,说明本文所提方法能更好的匹配目标运动规律,有效降低计算复杂度,提高跟踪精度。

In order to solve the problem of passive tracking low-altitude maneuvering target with acoustic network,a Digraph Switch Variable Structure Multiple Model （DS-VSMM） algorithm is proposed.First,acoustic sensors are networked and their time-delay bearing data is aligned,which improves the fusion performance of acoustic network.Second,a variable structure multi-model algorithm is used to estimate target state,in which the weight of new activated model is assigned by digraph switch method.Third,the system output is fused by multiple parallel models.Compared with the IMM method in simulation,the proposed algorithm can match actual target trajectory with less computational complexity and better accuracy.