基于粒子群算法的闪电定位网优化布站  

Sites Distribution Optimization of Lightning Location Network Based on Particle Swarm Optimization

作　　者：代声发 黄启俊[1] 马启明[2] 

机构地区：[1]武汉大学物理科学与技术学院,湖北武汉430072 [2]中国科学院电工研究所,北京100080

出　　处：《武汉大学学报（理学版）》2017年第6期506-512,共7页Journal of Wuhan University:Natural Science Edition

基　　金：国家科技支撑项目(2008BAC36B05)

摘　　要：闪电监测网探测站的位置分布对定位精度具有重要影响,如何布置站点使得监测网具有最佳的定位精度是监测网设计时必须考虑的问题.在分析三维闪电定位算法和点位误差的基础上,引入最优化思想,提出了一种优化布站模型.利用粒子群算法能够求解得到该模型的定量化结果,该结果保证了目标监测区域的平均误差最小.在广西壮族自治区三维闪电监测网站点位置分布设计应用中,利用该模型仿真得到定位网内水平误差为200m,误差得到明显降低.本文提出的模型可以为三维闪电监测网合理布置站点提供支撑,能有效提高监测网定位精度.The distribution of the sites of lightning monitoring network has important influence on the positioning accuracy.How to distribute sites is a basic question in the design of lightning monitoring network.This paper puts forward a model with optimization theory on the base of the 3-D lightning localization algorithm and accuracy analysis to achieve optimized sites distribution.Quantitative results of the distribution optimization can be given via particle swarm optimization（PSO）algorithm,which can ensure the average positioning accuracy in the network is at the mininum.In the application of 3-D lightning monitoring network design in Guangxi autonomous region,the calculation results showed that the horizontal average error is about 200 m which shows an obvious decrease in error.The model can present quantitative results.Calculation results show that the efficiency of the model in site distribution optimization of 3-D lightning monitoring network,which can greatly improve positioning accuracy.

关 键 词：闪电定位 精度分析 优化布站 粒子群算法 

分 类 号：P411[天文地球—大气科学及气象学] X43[环境科学与工程—灾害防治]