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为了保证航空管制中航空器的完整性,提高航空器的使用寿命,并且可以最大限度地保障航空乘客和其他航空人员的人身安全,需要对航空管制空中危险目标进行识别;但采用当前目标识别方法对空中危险目标识别时,识别系统对空中危险目标无法稳定识别,存在空中危险目标识别精度低的问题;为此,提出一种基于STAMP的航空管制空中危险目标识别方法;该方法先利用STAMP模型对航空管制空中危险目标识别系统各组成部分进行任务分配,然后采用Harris法对空中危险目标进行特征选择和提取,依据Mean-Shift法的Bhattacharyya系数,描述候选空中危险目标和空中目标的危险概率分布相似度,随着Bhattacharyya系数的不断增加,候选空中危险目标和空中危险目标的相似度越大,使危险目标跟踪系统朝着空中目标危险密度增大的位置移动,在最优位置收敛,从而实现空中危险目标跟踪,最后利用D-S理论对跟踪结果进行识别,通过引入空中目标危险性基本概率赋值函数获得空中目标危险基本概率,采用Dempster组合规则对空中目标危险证据进行合成,依据空中危险目标证据融合结果完成对航空管制空中危险目标的识别;实验仿真证明,所提方法增强了航空管制空中危险目标识别的效果,提高了航空管制空中危险目标识别的精度。
In order to ensure the integrity of aircraft in aviation control, improve the service life of aircraft and maximize the personal safety of air passengers and other aviation personnel, it is necessary to identify the air traffic control targets in air traffic control. However, Therefore, this paper proposes a STAMP-based air traffic control air danger target identification method. This method first uses the STAMP model to predict the airborne air danger target Then the Harris method is used to select and extract features of airborne danger targets. According to the Mean-Shift Bhattacharyya coefficient, the hazard probability distribution similarity between candidate airborne targets and airborne targets is described , With the increase of Bhattacharyya coefficient, the similarity between the candidate airborne danger target and the airborne dangerous target is greater, and the moving target tracking system is moved towards the location where the airborne target’s dangerous density increases, converging at the optimal location, so as to realize the airborne danger Target tracking, finally The DS theory is used to identify the tracking results. The basic probabilities of airborne targets are obtained by introducing the basic probability assignment function of airborne targets. The Dempster combination rules are used to synthesize the airborne targets. Based on the fusion results of the airborne targets, The identification of the dangerous target; the experimental simulation proves that the proposed method enhances the effectiveness of the aerial identification of the air traffic control target and improves the accuracy of identifying the airborne air hazard target.