直升机航迹的灰色预测

介绍了直升机的飞行噪声特性，论述了直升机航迹的预测在作战中的重要性，及探测数据非常有限的情况下准确预测的困难。该文提出了用灰色系统珲论解决直升机航迹预测问题，建立了灰色系统GM(灰色模型)预测模型和九次累加残差模型并对GM预测模型进行修正。在每个采样期间内，实时在线建立GM预测模型和残差模型以提高预测精度。通过实例计算能看出用较少的探测数据可以得到较高的预测精度。

Grey Forecast about Helicopter Tracks

The in flight sonic noise of helicopters is presented in brief,and followed by a discussion on the importance of prediction of helicopter tracks in the battle. However, it is very difficult to get an accurate and reliable prediction when the data are very limited. The paper makes use of the grey system theory to solve the forecast of helicopter tracks, establishing the GM model of grey systems and the cumulative residual error model of n degree, then correcting the GM forecast model. In the period of sampling, GM model and residual error model have been established on line to improve prediction precision. The calculation of concrete examples indicates that higher prediction precision can be obtained with fewer surveying data.