| 一种基于用频计划的监测设备部署优化方法 |
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| 引用本文： | 臧维明,严少虎,柳青梅,黄学民.一种基于用频计划的监测设备部署优化方法[J].现代雷达,2017(9):1-4. |
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| 作者姓名： | 臧维明 严少虎 柳青梅 黄学民 |
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| 作者单位： | 电子信息控制重点实验室,电子信息控制重点实验室,苏州恩巨网络有限公司,苏州恩巨网络有限公司 |
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| 基金项目： | 装备发展部重点实验室基金资助项目 |
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| 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。
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| 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 |
Monitoring Equipment Deployment Optimization Based on Frequency Scheduling |
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| ZANG Weiming,YAN Shaohu,LIU Qingmei an,HUANG Xuemin.Monitoring Equipment Deployment Optimization Based on Frequency Scheduling[J].Modern Radar,2017(9):1-4. |
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| Authors: | ZANG Weiming YAN Shaohu LIU Qingmei an HUANG Xuemin |
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| Affiliation: | Science and Technology on Electronic Information Control Laboratory,Science and Technology on Electronic Information Control Laboratory,NG Networks Co. , Ltd. and NG Networks Co. , Ltd. |
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| Abstract: | 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. |
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| Keywords: | frequency selective surface multi-function radome |
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