Authors: CHENG CHIN YI; CHI CHEN EN; HUANG XIANG SHUN; WANG YAN BIN
Company/Institution: National Yunlin University of Science and Technology
Country: TAIWAN
e-mail: eddie@wiipa.org.tw
web: https://www.tippa.org.tw/
This study uses acoustic signature capture and an innovative microphone array to expand sound data resolution for accurate multi-drone localization and path prediction. Integrated with the DoAGram algorithm, it visualizes 3D angles, time, and frequency features, supporting UAV detection, classification, and secure acoustic fingerprinting even in low-decibel environments.