Counter UAV detection of autonomous mobile listening nodes in ad-hoc system

Da Eun Kim, Seo Jeong Choi, Dongho Kim

Research output: Contribution to journalArticlepeer-review

Abstract

Advances in technology have led to innovation in UAVs, often called drones. As a result, the use of a drone, which can threaten civilians, has increased. In order to prevent this, a decentralized UAV detection system was devised. Detection model was established using three models, RNN, CNN, and Dense, with two features including MFCC and Mel-spectrogram. RNN showed the best result with 96% accuracy. As part of a defense system, it was designed decentralized using the ad-hoc network.

Original languageEnglish
Pages (from-to)147-157
Number of pages11
JournalJP Journal of Heat and Mass Transfer
Volume21
Issue numberSpecial Issue 2
DOIs
StatePublished - Dec 2020

Keywords

  • Ad-hoc network
  • CNN
  • Dense
  • RNN
  • UAV detection

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