临近空间高超声速跳跃滑翔式目标自适应跟踪模型

Adaptive tracking model for near space hypersonic jumping gliding target

针对临近空间高超声速跳跃式滑翔目标跟踪问题,在将加速度建模为具有正弦波(SW)自相关随机过程的基础上,提出一种自适应非零均值正弦波相关(ANM-SW)模型。其核心是对正弦波相关模型进行均值补偿构建ANM-SW模型,并推导了模型状态方程;为深入分析均值补偿的作用,分别从时域和频域的角度探讨了自适应非零均值模型的物理本质;此外,为进一步说明模型的适应性问题,结合Kalman滤波推导了SW及ANM-SW模型状态更新的系统动态误差,验证了ANM-SW模型在机动适应方面的优越性;最终仿真表明与SW模型相比,ANM-SW模型在跟踪精度及机动适应能力方面具有一定的优势性。

To address the near space hypersonic jump gliding target tracking problem,an Adaptive Non-zero Mean Sine Wave (ANM-SW)model is proposed on the basis of modeling acceleration as a random process of Sine Wave (SW)autocorrelation.The core of the model is to compensate the mean SW and construct the ANM-SW model;in this process,the state equation of the model is derived.To further analyze the role of mean compensation with this model,the physical nature of adaptive non-zero mean value model is discussed from the perspective of time domain and frequency domain.Furthermore,the system dynamic errors of SW and ANM-SW models status update are deduced taking Kalman filter as the filtering algorithm.In this way,the superiority of ANM-SW model in maneuver adaptation is verified.Finally,the simulation experiments show that compared with SW model,ANM-SW model has certain advantages in tracking accuracy and maneuverability.