基于三阶蛇形机动模型的跟踪算法分析研究

Analysis and Research of Tracking Algorithms Based on Third-order Circular Snake Maneuver Model

在高机动条件下,针对做蛇型机动的目标,提出了一种以圆周运动为基础的模型算法。并在现有二阶圆周模型的基础上,推导出了三阶圆周模型;针对蛇形机动换向问题,在基于三阶圆周模型和卡尔曼滤波的基础上,提出了基于转换因子的新息数据阈值检测算法和基于新息数据的假设检验检测算法,提高了蛇形机动模型转换处的检测灵敏性,并在一定程度上提高了收敛速度。仿真结果表明,两种改进算法都提高了全程滤波精度,尤其是提高了换向点处的收敛速度和跟踪精度。

Under the condition of high maneuverability,a model algorithm based on circular motion is proposed for the target of snake maneuvering.On the basis of the existing second-order circumference model,the third-order circumference model is innovatively deduced.Aiming at the problem of snake-like maneuvering commutation,based on the third-order circumference model and Kalman filter,the threshold detection algorithm of innovation data based on conversion factor and hypothesis test detection algorithm based on innovation data are proposed,which are improved.The detection sensitivity of the snake-like maneuvering model transformation is improved,and the convergence speed is improved to some extent.