基于自适应遗传算法的频谱传感器部署方法研究  

Research into Spectrum Sensor Deployment Method Based on Adaptive Genetic Algorithm

作　　者：王文兵 窦雪倩 李明惺 WANG Wenbing;DOU Xueqian;LI Mingxing(The 29th Research Institute of CETC,Chengdu 610036,China)

机构地区：[1]中国电子科技集团公司第二十九研究所,四川成都610036

出　　处：《舰船电子对抗》2024年第5期6-9,13,共5页Shipboard Electronic Countermeasure

摘　　要：频谱监测是快速、高效实施频谱决策、管制和制定用频计划的重要依据。高质量的传感器部署方案能够提升对电磁环境的全域、精细化感知能力,是准确获得电磁态势信息的重要基础。首先构建传感器监测能力模型,采用区域栅格化方法对监测覆盖面积进行快速计算;然后以栅格化的区域坐标点作为传感器备选部署位置,以使用最少数量传感器部署实现对监测区域最大面积覆盖为优化目标,构造遗传算法模型,通过迭代计算得到最优的传感器部署结果。仿真结果表明该方法相较于传统传感器部署方法具有更好的效果。Spectrum monitoring is an important basis for fast and efficient implementation of spectrum decision-making,regulation and formulation of frequency use plans.The sensor deployment scheme of high quality can improve the global and fine perceptions of electromagnetic environment,and is an important basis for accurately obtaining electromagnetic situation information.Firstly,this paper constructs the sensor monitoring capability model,and uses the region rasterization method to quickly calculate the monitoring coverage area.Then,taking the rasterized regional coordinate points as the alternative location for sensor deployment,and taking the minimum number of sensors to achieve the maximum coverage of the monitoring area as the optimization goal.This paper constructs the genetic algorithm model,and obtains the optimal sensor deployment results through iterative calculation.Simulation results show that the proposed method has better effect than the traditional sensor deployment method.

关 键 词：频谱监测 传感器部署 栅格化 自适应遗传算法 

分 类 号：TP212.9[自动化与计算机技术—检测技术与自动化装置]