葛云露, 董俊, 姬生云, 冯晓哲, 王健, 王先义. 电磁频谱监测设备部署优化算法[J]. 电波科学学报, 2014, 29(2): 353-357. doi: 10.13443/j.cjors.2013041502
      引用本文: 葛云露, 董俊, 姬生云, 冯晓哲, 王健, 王先义. 电磁频谱监测设备部署优化算法[J]. 电波科学学报, 2014, 29(2): 353-357. doi: 10.13443/j.cjors.2013041502
      GE Yunlu, DONG Jun, JI Shengyun, FENG Xiaozhe, WANG Jian, WANG Xianyi. Deployment optimization algorithm for electromagnetic spectrum monitoring equipment[J]. CHINESE JOURNAL OF RADIO SCIENCE, 2014, 29(2): 353-357. doi: 10.13443/j.cjors.2013041502
      Citation: GE Yunlu, DONG Jun, JI Shengyun, FENG Xiaozhe, WANG Jian, WANG Xianyi. Deployment optimization algorithm for electromagnetic spectrum monitoring equipment[J]. CHINESE JOURNAL OF RADIO SCIENCE, 2014, 29(2): 353-357. doi: 10.13443/j.cjors.2013041502

      电磁频谱监测设备部署优化算法

      Deployment optimization algorithm for electromagnetic spectrum monitoring equipment

      • 摘要: 以电波传播环境、监测设备的监测性能为分析基础,建立了监测设备监测能力模型、协同监测能力模型及监测区域部署效率模型.基于自适应遗传算法,将电磁频谱监测设备部署优化作为协同优化问题,以监测区域的监测能力最优为评价准则,设计了一种电磁频谱监测设备部署智能优化方法,提高了监测设备利用率,充分发挥各监测设备的监测能力,达到监测设备部署优化的目的,并通过仿真验证了本算法的实用性和有效性.

         

        Abstract: A monitoring equipment deployment optimization algorithm is propsed to deploy the monitoring equipment to the best positions. First,based on the radio propagation environments and parameters of monitoring equipment the monitoring capability model, the combined monitoring model of monitoring equipment and monitoring deployment efficiency are established. The adaptiv genetn algorithm(AGA) is introduced into the algorithm. Then, the electromagnetic spectrum monitoring equipment is deployed as a combinatorial optimization problem, with the evaluation criterion to best monitor the region, to select and deploy the monitoring equipment in the monitored region, and improve the utilization of monitoring equipment. In the end, experiments show that the method is feasible and effective.

         

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