摘要
介绍了一种针对无人驾驶直升机小半径稳速盘旋使用的Kalman滤波器 ,并用其进行数据处理 ,同时给出了无人驾驶直升机盘旋飞行的状态方程 ,以及进入盘旋、退出盘旋和野值数据的自动判断和处理 ,并且在分析过程中给出了误差分析。讨论了飞行模式检测方法的设计思路及关键技术 ,并给出了本方法的虚警概率。本方法可用于导航控制、天线跟踪和遥测数据处理等系统中 ,可以提高定位的准确性 。
This paper discussed a kind of Kalman filter used in the pilotless helicopter ho vering flight with small radius and stable velocity.The authors put forward sta te equations of this flight mode, the auto judging method at entrance or exit o f the hovering flight mode, and the auto processing method on outlier data reje ction. This paper gives the error analysis on data process and false alarm proba bility of flight mode judgment using the filter. This filter can be used in navi gation, antenna tracking, and telemetry data processing systems to improve the l ocating accuracy and to realize the flight mode auto judgment.
出处
《航空学报》
EI
CAS
CSCD
北大核心
2003年第2期163-166,共4页
Acta Aeronautica et Astronautica Sinica
