A Lightning Location Algorithm Based on Clustering Analysis

Abstract

Location accuracy is an important measurement for evaluation of lightning locating networks, and the location algorithm directly affect the accuracy of the lightning detection results. According to the existed weakness of arrival time difference in traditional location method such as poor ability of resisting error interference and low location accuracy, and iterative algorithms are easy to diverge, an improved DBSCAN algorithm is introduced in location calculation. The performance of the proposed location algorithm was confirmed by regional simulation. The results showed that ADBSCAN does not require manual intervention, and has better clustering effect for lightning location results. The lightning location algorithm based on ADBSCAN overcomes the shortcomings that iterative algorithms are easy to diverge and fall into local optimum, and can solve the lightning points steadily and accurately.