中文摘要：

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。

英文摘要：

To suppress wind disturbance during helicopter navigation, a method of establishing a helicopter trajectory model is proposed to describe its flight of fixed altitude precisely by means of nonlinear state equations. The model is based on CV motion model. The unscented kalman filter （UKF） was designed on the basis of the model to process the trajectory including wind noise, which can improve the volatility of the trajectory. The simulation results of UKF are of higher accuracy and significant effects, which have overcome the shortcomings of traditional filters led by truncation errors and other factors. Moreover, the calculation of UKF is fast and easy to be implemented. Such that it has a great reference value in engineering application.