论文部分内容阅读
针对航迹分类问题,研究了基于空间多特征的综合推理在航路判读中的应用。首先根据空管系统对航路以及飞机飞行的要求,对航迹航路相关问题进行建模。然后根据已知的传感器系统输出的目标特性(位置,航向)与已知的多个航路信息分别进行相关度计算,构造基本信任函数,通过对其融合,得到目标单特征识别结果。其中,通过合理地引入复合类,实现了对目标类别的广义信任分类。建立了多特征折扣融合算法,对多特征基本信任函数进行折扣后再融合,得到目标多特征识别结果。仿真结果以及空管实际数据测试表明:该算法不仅可以实现航迹分类,同时可以有效地降低分类的错误率。
Aiming at the problem of track classification, the application of comprehensive reasoning based on multi-characteristics of space in navigation interpretation is studied. First of all, based on the requirements of the ATC system for the route and the flight of the aircraft, the related problems of the route and route are modeled. Secondly, based on the known target characteristics (position and heading) output by the sensor system and the known multiple route information, the correlation degree is calculated respectively. The basic trust function is constructed, and the target single-feature recognition result is obtained through the fusion. Which, through the reasonable introduction of complex classes, to achieve a general category of trust classification. A multi-feature discount fusion algorithm is established to discount the multi-feature basic trust function and then fuse to obtain multi-feature recognition results. Simulation results and air traffic control data show that the algorithm can not only track classification, but also effectively reduce the classification error rate.