Estimation And Identification Of Lightning Electromagnetic Field Waveforms Utilizing Signal Processing Method

Rama Chenderan, Dinesh Kumar (2019) Estimation And Identification Of Lightning Electromagnetic Field Waveforms Utilizing Signal Processing Method. Project Report. UTeM, Melaka. (Submitted)

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Abstract

Lightning has been a strange natural phenomenon since antiquated time. Although, the phenomenon of lightning is uncovered as the transmission of electrical discharges, there are numerous obscure regions inside the event of lightning itself. Consequently, the studies and researches about lightning are still an interesting issue these days. The main equipment that used for lightning studies and researches is lightning detectors. The lightning detector already invented in the year of 1894. One of the famous lightning detector devices used is LD-350 with price of RM 200,000. The problem of that lighting detector is not able to process the lightning data automatically and it is not able to identify the type of lightning which is fundamental of the lightning researches. Therefore, we are motivated to build a cheapest and automated lightning detector by using the Picoscope 2204A (a PC-based oscilloscope) and Raspberry PI 3B (minicomputer). The Picoscope 2204A plays its role to fetch signal from the antenna in analogue form and convert it into digital form and save it in the memory of Raspberry PI 3B in the text file format. The Raspberry PI 3B was assigned to transfer the text file data from its memory to local computer by using network arranged storage (NAS). In the computer, the MATLAB platform was used to process the lightning data and identify the type lightning automatically without human intervention.

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