基于模拟退火粒子群算法的甚高频台站补盲  

VHF Station Blind-filling Based on Simulated Annealing Particle Swarm Optimization Algorithm

作　　者：徐亚军 吴红洪 赵一阳 张强[1] XU Ya-jun;WU Hong-hong;ZHAO Yi-yang;ZHANG Qiang(College of Air Traffic Management,Civil Aviation Flight University of China,Deyang 618307,China)

机构地区：[1]中国民用航空飞行学院空中交通管理学院,德阳618307

出　　处：《科学技术与工程》2024年第21期8996-9001,共6页Science Technology and Engineering

基　　金：国家级大学生创新创业训练计划(202310624028)。

摘　　要：目前中国西藏地区甚高频(very high frequency,VHF)通信台站在7000 m及以上高空航路通信信号覆盖存在覆盖盲区,但是并没有针对VHF通信信号盲区补盲方面的研究及对应的解决办法。为了解决以上问题,提出了一种以西藏地区的实际地形为优化算法搜索对象,以拉萨管制区管辖范围内航路通信信号的单重覆盖率、双重覆盖率及管制区的冗余度为指标的补盲部署数学模型。接着,在不改变西藏地区原有VHF通信台站数量和位置的基础上,利用模拟退火粒子群算法,采用最小频率最少台站个数寻找一个最优台站对未覆盖的一段航路进行VHF通信信号覆盖研究。仿真结果表明,该算法不仅实现了采用最小频率最少台站个数解决航路通信信号覆盖盲区的目标,而且克服了粒子群算法在寻优过程中易陷入局部最优解的缺点,同时也证明了提出的补盲部署数学模型的正确性及改进的粒子群算法的高效性。该算法和模型可以为航线网路规划、台站部署优化及最终通过该方法解决频谱资源匮乏问题提供理论支撑和技术支持。At present,there is a coverage blind zone for very high frequency(VHF)communication stations in Tibet area in 7000 m and above,but there is no research and corresponding solution for VHF communication signal blindness replenishment in China.In order to solve the above problems,a supplementary blind deployment mathematical model was proposed,which takes the actual terrain of Tibet as the optimal search object,and the single and double coverage rate of the airway communication signal within the jurisdiction of Lhasa control area as the index.Then,on the basis of not changing the number and location of the original VHF communication stations in Tibet,simulated annealing particle swarm optimization algorithm was used to find an optimal station with minimum frequency and minimum number of stations to study the coverage of VHF communication signals on a certain uncovered route.The simulation results show that the algorithm not only realizes the goal of using the minimum frequency and the minimum number of stations to solve the coverage blind area of the route communication signal,but also overcomes the shortcoming of the particle swarm optimization algorithm which is easy to fall into the local optimal solution in the optimization process,and also proves the correctness of the proposed mathematical model of the complement blind deployment and the efficiency of the improved particle swarm optimization algorithm.The algorithm and model can provide theoretical and technical support for route network planning,station deployment optimization,and finally solve the problem of spectrum scarcity through this method.

关 键 词：数学模型 补盲部署 粒子群算法 模拟退火算法 

分 类 号：TP181[自动化与计算机技术—控制理论与控制工程] V355.1[自动化与计算机技术—控制科学与工程]