Millimeter Wave 60 GHz Radar Measurements: UAS and Birds

Citation Author(s):
Seongjoon
Kang
Henrik
Forsten
Vasilii
Semkin
Sundeep
Rangan
Submitted by:
Vasilii Semkin
Last updated:
Thu, 04/25/2024 - 03:01
DOI:
10.21227/c8r5-6h79
Data Format:
.pkl
License:
Creative Commons Attribution
1170 Views
Categories:
Signal Processing
Machine Learning
Security
Image Processing
Remote Sensing
Keywords:
FMCW radar, Machine learning (ML) algorithms, drone detection, Bird monitoring;Bird detection; Artificial Intelligence; Machine Learning; Detection; Bird Detection dataset
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Abstract 

The results are based on the measurements conducted on small drones and a bionic bird using a 60 GHz millimeter wave radar, analyzing their micro-Doppler characteristics in both time and frequency domain. The results are presented in .pkl format. The more detailed description of the data and how the authors processed it will be updated soon.

Instructions: 

The data contains amplitude and phase information

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