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一种基于用频计划的监测设备部署优化方法
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  • 英文篇名:Monitoring Equipment Deployment Optimization Based on Frequency Scheduling
  • 作者:臧维明 ; 严少虎 ; 柳青梅 ; 黄学民
  • 英文作者:ZANG Weiming;YAN Shaohu;LIU Qingmei;HUANG Xuemin;Science and Technology on Electronic Information Control Laboratory;NG Networks Co.,Ltd.;
  • 关键词:用频计划 ; 监测要求 ; 监测能力 ; 监测设备部署 ; 多目标遗传算法
  • 英文关键词:frequency scheduling;;monitoring requirements;;monitoring capability;;monitoring equipment deployment;;multi-objective genetic algorithm
  • 中文刊名:XDLD
  • 英文刊名:Modern Radar
  • 机构:电子信息控制重点实验室;苏州恩巨网络有限公司;
  • 出版日期:2017-09-15
  • 出版单位:现代雷达
  • 年:2017
  • 期:v.39;No.322
  • 基金:装备发展部重点实验室基金资助项目
  • 语种:中文;
  • 页:XDLD201709001
  • 页数:5
  • CN:09
  • ISSN:32-1353/TN
  • 分类号:5-8+12
摘要
提出了一种基于用频计划的监测设备部署优化方法,根据实际的用频计划提取出包含监测区域、时间和频段的监测要求,结合监测设备的监测能力,运用改进的多目标遗传算法,快速有效地部署监测设备,制定监测计划,提高了对监测要求在时域、空域和频域的监测覆盖率,达到了监测设备部署优化的目的,并通过仿真验证了该算法的可行性和有效性。
        A monitoring equipment deployment optimization method based on frequency scheduling is proposed. According to the actual frequency scheduling,the monitoring requirements including monitoring area,monitoring time and frequency band are extracted. Combined with the capability of monitoring equipment,an improved multi-objective genetic algorithm is employed to deploy the monitoring units rapidly and efficiently. The monitoring coverage rate in terms of time,area and frequency domains is improved and the optimization targets are achieved. Finally,the feasibility and effectiveness of the proposed algorithm are verified by simulation system.
引文
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