基于STAMP的航空管制空中危险目标识别方法研究

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,并且可以最大限度的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。

Air traffic control air dangerous target recognition method based on the STAMP

In order to ensure the integrity of the aircraft in the air traffic control, improve the service life of the aircraft, and can be the maximum guarantee air passengers and other aviation personnel safety, need to air traffic control air dangerous targets for identification. Dangerous but the current target recognition method is adopted to air target identification, risk identification system for air target cannot be stable recognition, the low risk of air target recognition accuracy. For this, put forward a kind of air traffic control air dangerous target recognition method based on the STAMP. STAMP this method first is used to air traffic control air dangerous target recognition system for each component task allocation, and then by the method of Harris, air dangerous targets for feature selection and extraction, based on the Mean Shift method to describe candidate Bhattacharyya coefficient of air dangerous targets and the danger of air target probability distribution similarity, with the continuous increase of Bhattacharyya coefficient, candidate air dangerous aim, and the greater the similarity of the air dangerous, dangerous target tracking system moving towards the location of the air target dangerous density increases, the convergence in the optimal position, so as to realize the air dangerous target tracking, the final tracking results to make use of D - S theory of recognition, risk by introducing air targets the basic probability assignment function basic probability risk for air targets, using Dempster combination rules to synthesis of air targets dangerous evidence, on the basis of air dangerous target evidence fusion results to complete the air traffic control air target identification. Experimental simulation show that the proposed method enhances the air traffic control the effect of air target identification dangerous, improve the accuracy of the risk the air traffic control air target identification.