摘要
针对闪电探测站点布局受地理条件制约的问题,提出基于布谷鸟搜索算法的站点布局优化方法。以站点坐标为自变量、站点位置范围为约束条件、目标区域内闪电平均定位误差最小为准则,确定闪电定位优化布站的目标函数,建立闪电定位布站最优化模型。实验表明,布谷鸟搜索算法优化布站后的目标区域平均定位误差为0.432 km,相比传统“Y”形、“T”形布站下的目标区域平均定位误差分别减小了17.7%和23.1%。
Aiming at the problem that the layout of lightning detection sites is restricted by geographical conditions,the site layout optimization method based on the cuckoo search algorithm is proposed.Taking the station coordinates as the independent variable,the station location range as the constraint condition,and the minimum average lightning positioning error in the target area as the criterion,the target function for lightning positioning optimization station layout is determined,and an optimization model for lightning positioning station layout is established.The experiment shows that the average positioning error of the target area optimized by the cuckoo search algorithm is 0.432 km,which is decreased by 17.7%and 23.1%compared with traditional Y type and T type stations,respectively.
作者
郑玉兰
徐伟
Zheng Yulan;Xu Wei(Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters Nanjing University of Information Science&Technology,Nanjing 210044;Jiangsu Key Laboratory of Meteorological Observation and Information Processing,Nanjing University of Information Science&Technology,Nanjing 210044)
出处
《气象水文海洋仪器》
2024年第3期13-18,共6页
Meteorological,Hydrological and Marine Instruments
基金
国家重点研发计划政府间/港澳台重点专项项目(2021YFE0105500)
国家自然科学基金(41605121)资助。
关键词
闪电定位
四站时差
几何精度稀释因子
布谷鸟搜索算法
布局优化
lightning localization
four station time difference
GDOP
cuckoo search algorithm
layout optimization
