To improve the control performance of an unmanned helicopter, a unmanned helicopter navigation system based GPS module is designed by using the satellite navigation and positioning technology. And an extended Kalman filtering algorithm based on GPS data is presented by using the idea of regression data processing optimization algorithms.The algorithms can estimate the required signal from observed quantity which is involved with? extracted signal, and effectively improve the reliability and accuracy of data. Experiment data showed that the GPS data processed by the extended Kalman filter algorithm is more suitable for precision navigation of UAV. And it can be easily used for another field such as position measurements, navigation and motion control.%为提高无人直升机的控制性能,依托卫星导航定位技术,设计了一个基GPS模块的无人直升机导航系统.利用最优化自回归数据处理算法思想,提出了一个GPS数据扩展kalman滤波算法,该算法从与被提取信号有关的观测量中估计出所需信号,有效地去除噪声,提高了数据的可靠性和精度.实验数据表明.经过扩展Kalman滤波算法处理后的数据更加适用于无人机精确导航,此外,该导航系统还可以应用于其他领域,如位置测量、导航和运动控制等.
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