Adaptive window size and stepped frequency scan spectrogram analysis for drone signal detection in multi-signal environment

• Main Authors: Chia, Chun Choon, Sha’ameri, Ahmad Zuri
• Format: Article
• Published: Science and Technology Research Institute for Defence 2020
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.utm.my/id/eprint/91311/; https://www.scopus.com/record/display.uri?eid=2-s2.0-85087093211&origin=resultslist&sort=plf-f&src=s&sid=9ce8c19095d83006900e26fe85d803d7&sot=b&sdt=b&sl=138&s=

In this paper, a spectrogram based on stepped frequency scanning and adaptive window size algorithm is proposed to detect drone signals that operate at the 2.4 and 5.8 GHz Industrial, Scientific and Medical (ISM) bands in a multi-signal environment. In this algorithm, the received signal is divided...