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Counter UAV detection of autonomous mobile listening nodes in ad-hoc system
- Authors
- Kim, D.-E.; Choi, S.-J.; Kim, D.
- Issue Date
- Dec-2020
- Publisher
- Pushpa Publishing House
- Keywords
- Ad-hoc network; CNN; Dense; RNN; UAV detection
- Citation
- JP Journal of Heat and Mass Transfer, v.21, no.Special Issue 2, pp 147 - 157
- Pages
- 11
- Indexed
- SCOPUS
- Journal Title
- JP Journal of Heat and Mass Transfer
- Volume
- 21
- Number
- Special Issue 2
- Start Page
- 147
- End Page
- 157
- ISSN
- 0973-5763
- 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. © 2020, Pushpa Publishing House. All rights reserved.
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Related Researcher
- Kim, Dong Ho
- Software Education Institute