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为了解决飞机前视地形防撞问题,针对机载防撞雷达系统的缺点及局限性,提出了一种以虚拟雷达替代机载防撞雷达系统的基于交互多模型的飞机地形规避策略。该方法根据飞机机动运动特点,建立适于准确快速预测的匀速运动模型、匀加速运动模型以及当前统计模型,采用交互多模型原理结合成熟的卡尔曼滤波估计技术,对飞机未来飞行状态进行实时预测,根据飞机飞行状态预测结果与机载地形库进行匹配以进行地形规避。通过仿真的方法,以F16飞机为例,对飞机飞行状态预测算法进行了验证,结果表明,对于较长时间预测,预测时间对预测精度有很大影响,可根据预测时间确定告警等级。研究还表明基于交互多模型的飞机地形规避方法,相比于机载雷达防撞系统具有无可比拟的优势,可以替代机载雷达防撞系统。
In order to solve the problem of frontal collision avoidance of aircraft, aiming at the shortcomings and limitations of airborne collision avoidance radar system, a strategy based on interactive multiple models to replace the airborne collision avoidance radar system with virtual radar was proposed. According to the characteristics of aircraft maneuver, this method establishes uniform motion model, uniform acceleration motion model and current statistical model which are suitable for accurate and rapid prediction. Real-time prediction of the future flight state of the aircraft is made by using the principle of interaction multi-model and the mature Kalman filter estimation technique , According to the aircraft flight status prediction results and the airborne terrain database to match the topography to avoid. The simulation results show that the prediction time has a great influence on the prediction accuracy and the alarm level can be determined according to the forecasting time by using the F16 aircraft as an example. The research also shows that the method based on the interaction and multi-model can avoid the collision avoidance system of airborne radar compared to the anti-collision system of airborne radar with unparalleled advantages.