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针对传统机场场面监视手段的固有缺陷,为避免在机场发生航空器/车辆入侵跑道,将事件驱动型传感器网络引入到场面目标监视中,研究了1种基于灰色序列输入扩张状态观测器的场面目标跟踪方法。该方法采用灰色模型对速度序列进行建模,弱化了原始速度序列随机干扰的影响,并结合目标运动模型辨识理论设计了1类扩张状态观测器观测系统状态,实现了场面运动目标跟踪与模型参数辨识,应用仿真算例对模型和方法进行了验证,x轴速度误差峰值不超过2.6m/s,该方法具有所需数据少、预测精度高和无需先验信息的特点。
In order to avoid the occurrence of aircraft / vehicle invaded runway in airport and to introduce event-driven sensor network into scene target monitoring, aiming at the inherent defects of traditional airport scene monitoring, a scene target tracking based on gray sequence input extended state observer method. This method uses the gray model to model the velocity sequence and weakens the influence of the random disturbance of the original velocity sequence. A kind of extended state observer is designed to observe the state of the system by combining with the target motion model identification theory, and the scene moving target tracking and model parameters The model and method are validated by simulation examples. The peak value of x-axis velocity error does not exceed 2.6m / s. This method has the characteristics of less required data, high prediction accuracy and no prior information.