FB-CS模型的两层嵌套机动目标跟踪算法

针对转弯机动目标,提出了一种两层模型嵌套的跟踪算法.算法的内层模型由基于函数的“当前”统计(Function based current statistic,FB-CS)模型构成,该模型在“当前”统计(Current statistic,CS)模型的基础上,通过加权一个以新息方差之迹为参数的活化函数,对加速度方差和机动频率进行自适应处理,再针对目标的速度方向角进行滤波,将获得的角速度估计值作为外层的输入；外层模型由曲线模型构成,其方向角度、角速度和角加速度由内层模型提供.由于既准确估计目标的角速度,又设计了合理的运动模型,算法显著提高了转弯机动目标的跟踪精度.仿真实验验证了算法的有效性.

A Double-layer Maneuver Tracking Algorithm of Function Based Current Statistic Model

A novel double-layer tracking algorithm for turning maneuver target is proposed.It contains the inner layer and the outer layer.The inner layer is composed of function based current statistical(FB-CS) model.In the model,an activate function are introduced,whose argument is the innovation variance’s trace.Then,the activate function is used to dispose the error covariance of the acceleration and the frequency of the maneuver.The filter is to attain the direction angular as the input of the outer layer.The outer counter part is composed by curvilinear model.In the model,the direction angular,the angular velocity and the tangential acceleration are calculated based on the angular output of the inner. Because of the reasonable design of the models,the tracking precision for turn maneuver is significantly improved.Experiment demonstrates the efficiency of the proposed algorithm.