电测与仪表2016，Vol.53Issue(16)：5-10,6.
基于改进果蝇优化算法的雷电定位研究
Research on lightning location estimation based on modified fruit fly optimization algorithm
摘要
Abstract
Location accuracy is an important index for evaluation of locating networks lightning monitoring systems, and positioning algorithm is directly related to the results of the location accuracy.According to the existed weakness of iterative algorithms in traditional ellipsoid location such as they are easy to diverge, this paper proposed the modi-fied fruit fly optimization algorithm (MFOA) in lightning location calculation and gave the methods to modify the FOA and used MFOA for lightning location———getting the lightning point coordinate finally by closing the distance error be-tween the lightning point and the detection point.This paper simulated and verified the MFOA, and then, calculated and analyzed the lightning location through MFOA.The results showed that MFOA can overcome the problems of the traditional location algorithm such as they are easy to diverge and FOA is easy to fall into local minima, and MFOA converges faster, the distance between the lightning point obtained by MFOA and the actual lightning point is 362.4 m, which meets lightning position error and verifies the effectiveness of the proposed method, so MFOA offers a new algorithm for lightning location.关键词
雷电定位/果蝇优化算法/定位精度/到达时间差Key words
lightning location/fruit fly optimization algorithm/location accuracy/time difference of arrival分类
信息技术与安全科学引用本文复制引用
郭小红,赵雪松,朱永利,陈旭,赵磊,高艳丰..基于改进果蝇优化算法的雷电定位研究[J].电测与仪表,2016,53(16):5-10,6.基金项目
中央高校基本科研业务费专项资金资助项目 （）
