Lightning location method based on improved fuzzy C-means clustering algorithm
by Tao Li; Jie Chen; Lina Wang; Yongjun Ren
International Journal of Sensor Networks (IJSNET), Vol. 35, No. 3, 2021

Abstract: Location accuracy is an important index for the evaluation of location networks and the localisation algorithm related to the accuracy of the results. Classical location algorithms scarcely correct errors accurately. Moreover, they have poor resistance to error interference and low location accuracy. To achieve error-resistant lightning localisation, weighted rough-fuzzy C-means (WRFCM) was introduced in location calculation. The performance of this localisation algorithm was analysed using a lightning accident case through regional simulation. Results show that the lightning localisation algorithm based on WFCM overcomes the disadvantage in which traditional location algorithms easily diverge; the algorithm also has an improved ability to resist error interference and can solve the lightning points steadily and accurately.

Online publication date: Wed, 31-Mar-2021

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