基于改进遗传算法的频谱监测系统规划研究

Spectrum Monitoring System Planning based on Improved Genetic Algorithm

为解决现有电磁频谱监测网络规划技术中的计算准确度不高、规划过程复杂的问题,研究一种基于改进遗传算法的电磁频谱监测系统规划布局算法,包括监测站监测覆盖范围计算和站点布局规划两部分。计算监测站监测覆盖范围时采用移动信号源发射和固定监测站接收的方法,并自适应设置移动信号源密度;站点布局规划采用六边形规划取代随机初始化,以覆盖率作为适应度函数进行遗传优化操作,并限定监测站点位置变异方向。该算法收敛速度快、效率高,结果符合实际情况和应用需求,且规划效率高,提高了规划结果的准确性和实效性。

In order to solve the problem of low computational accuracy and complicated planning process in the existing electromagnetic spectrum monitoring network planning technology,a planning and layout algorithm of electromagnetic spectrum monitoring system based on improved genetic algorithm is studied.It includes two parts:monitoring station coverage calculation and site layout planning.When calculating the coverage of the monitoring station,the method of transmitting and fixing the receiving station of the mobile signal source is adopted,and the density of the moving signal source is adaptively set.In the process of station layout planning,hexagonal planning is used instead of random initialization,and genetic optimization is carried out with the coverage rate as fitness function,and the variation direction of station location is limited.The algorithm has fast convergence speed and high efficiency.The results are in line with the actual situation and application requirements,and the planning efficiency is high,which improves the accuracy and effectiveness of the planning results.