Whistler Waves Detection - Investigation of modern machine learning techniques to detect and characterise whistler waves

• Main Author: Konan, Othniel Jean Ebenezer Yao
• Other Authors: Mishra, Amit, Lotz, Stefan
• Format: Master Thesis
• Language: English
• Published: Faculty of Engineering and the Built Environment 2021
• Subjects: Very Low Frequency Waves; Whistler Radio Waves; CFAR; Object detection; SANAE; SANAE IV; Antarc*; Antarctica
• Online Access: http://hdl.handle.net/11427/35746; https://open.uct.ac.za/bitstream/11427/35746/1/thesis_ebe_2021_konan%20othniel%20jean%20ebenezer%20yao.pdf

Lightning strokes create powerful electromagnetic pulses that routinely cause very low frequency (VLF) waves to propagate across hemispheres along geomagnetic field lines. VLF antenna receivers can be used to detect these whistler waves generated by these lightning strokes. The particular time/frequ...