基于遗传粒子群组合算法的ADS-B地面站选址分析及仿真

发布时间：2017-12-26 21:23

本文关键词：基于遗传粒子群组合算法的ADS-B地面站选址分析及仿真　出处：《中国民航大学》2016年硕士论文　论文类型：学位论文

【摘要】：近年来,随着航空业的迅猛发展,传统的监视技术已不能满足日益增长的航空需求。广播式自动相关监视技术ADS-B在我国逐渐得到了广泛的应用。为达到最优的安全指标以及最大化的资源利用,ADS-B地面站的最优布站选址是必须解决的关键问题。针对组合算法ADS-B地面站选址分析的研究,本文主要进行了以下工作:首先,对ADS-B技术进行系统介绍,并归纳相关选址因素及民航标准,为地面站选址仿真提供准则和依据。然后,对遗传算法和粒子群算法进行仿真研究,分析各自的局限性,并通过简单的选址测试函数验证组合算法优越性;分析ADS-B地面站天线特性,在考虑真实的地形遮蔽、天线的顶空盲区和地球曲率等因素的情况下,对地面站的电磁覆盖模型进行仿真,并通过对真实地形的可视化处理,验证电磁覆盖模型的正确性;把覆盖面积与矩阵建立联系,量化覆盖率;加载真实高程地图数据,运用组合算法对地面站选址进行综合仿真,得到合适的布站方案,并对不同高度层的覆盖率及冗余度进行定量分析。最后,在Matlab和U-GIS中分别实现仿真结果的二维三维可视化处理,并编写GUI界面,实现中国范围内不同地区的布站选址方案的输出显示及结果分析。
[Abstract]:In recent years, with the rapid development of the aviation industry, the traditional monitoring technology can not meet the increasing demand for aviation. The broadcast automatic correlation monitoring technology (ADS-B) has been widely used in our country. In order to achieve the best safety index and maximize the utilization of resources, the optimal site selection of ADS-B ground station is the key problem to be solved. In view of the research on site selection of ADS-B algorithm, the following works are done in this paper. First, the ADS-B technology is systematically introduced, and the related location factors and civil aviation standards are summarized, which provides guidelines and basis for site location simulation. Then, the simulation study on the genetic algorithm and particle swarm algorithm, analyzed their limitations, and through simple location superiority test function to verify the combination algorithm; ADS-B analysis of ground station antenna, the antenna in the real terrain masking, considering the curvature of the earth and the blind headspace and the conditions on the ground, the electromagnetic the cover model simulation, and through the visualization of real terrain, verify the correctness of electromagnetic coverage model; the coverage area and matrices, quantitative coverage; real elevation map data loading, transport location for the comprehensive simulation of ground station with combination algorithm, get the right station distribution scheme, and the different height the coverage rate and the degree of redundancy for quantitative analysis. Finally, the 2D and 3D visualization processing of the simulation results is implemented in Matlab and U-GIS respectively, and the GUI interface is written to achieve the output display and result analysis of location selection in different regions of China.
【学位授予单位】：中国民航大学
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：V355.1;TP18

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