RF-signal-based-UAV-Identification-and-Classification

KO | EN

gitlite — search

#javascript #python #ai #golang #machine-learning #rust #java #awesome #cli #kubernetes #awesome-list #ios #mcp #open-source

RF-signal-based-UAV-Identification-and-Classification

(★ 18)

No description available.

RF-signal-based-UAV-Identification-and-Classification 최신버젼 다운로드

최종 버전 다운로드 (.zip)

// repository documentation

Was this content helpful?

★ 0 (0 ratings)

# RF-signal-based-UAV-Identification-and-Classification
RF Based UAV Detection and Defense Systems have
become increasingly important as the use of unmanned aerial
vehicles (UAVs) continues to grow in popularity. Deep learning,
a subset of machine learning, has shown great potential for
improving the accuracy and reliability of these systems. In this
study a machine learning based approach for detection and
classification of radio frequency signals from drones is proposed.
As data source the DroneDetectV2 data set is used. Specifically,
we focus on the application of deep learning techniques for UAV
detection and classification using RF signals. We also discuss
the challenges involved in training deep learning models for
UAV detection and propose possible solutions to overcome these
challenges. In this study, we have compared the classification
results for two cases, while taking/ not taking flight modes
of the drones into consideration. The results of this study
demonstrate that deep learning can significantly enhance the
accuracy and reliability of RF-based UAV detection and defense
systems, making them an effective tool for protecting critical
infrastructure and public safety.

### Working

### Signal visualization
<img width="639" alt="image" src="https://github.com/Aditya20101/RF-signal-based-UAV-Identification-and-Classification/assets/75621797/d0b46605-ae0f-4f68-9856-31ffabae8e9e">

### Dataset
Carolyn J. Swinney, John C. Woods, June 12, 2021, "DroneDetect Dataset: A Radio Frequency dataset of Unmanned Aerial System (UAS) Signals for Machine Learning Detection & Classification ", IEEE Dataport, doi: https://dx.doi.org/10.21227/5jjj-1m32.

*See Report and Presentation for more information

RF-signal-based-UAV-Identification-and-Classification

RF-signal-based-UAV-Identification-and-Classification 최신버젼 다운로드

오늘의 추천 프로젝트

Was this content helpful?

Recent Feedback

RF-signal-based-UAV-Identification-and-Classification

RF-signal-based-UAV-Identification-and-Classification 최신버젼 다운로드

오늘의 추천 프로젝트

Was this content helpful?

Recent Feedback

Download README