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.
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