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提出一种针对直升机导航过程中风场干扰问题的航迹建模方法。该方法基于CV运动模型,用非线性状态方程准确描述了飞机的定高飞行过程。在该模型的基础上,根据UKF算法设计无迹卡尔曼滤波器,对包含风场噪声的航迹进行处理,用以提高航迹的估计精度。仿真结果表明,航迹估计结果精度较高,滤波效果显著,克服了由于扩展卡尔曼滤波类方法截断误差等因素导致精度下降的不足。此外,该滤波器计算速度快且易实现,具有较好的工程应用参考价值。
A trajectory modeling method is proposed for the disturbance of wind field during helicopter navigation. The method is based on the CV motion model and accurately describes the flight process of the aircraft with a nonlinear equation of state. Based on this model, the unscented Kalman filter is designed according to the UKF algorithm, and the track containing wind noise is processed to improve the estimation accuracy of the track. The simulation results show that the result of track estimation has high accuracy and significant filtering effect, which overcomes the shortcoming of accuracy reduction due to truncation error of extended Kalman class method. In addition, the filter calculation speed and easy to implement, with good reference value for engineering applications.