This dataset is compiled from five years of observation from the Global Precipitation Measurement (GPM) core observatory Microwave Imager (GMI) and Dual-Frequency Precipitation Radar (DPR). Retrieved emissivites and surface backscatter cross sections are gridded at quarter-degree, monthly resolution separately for non-snow-covered land, snow-covered land, and sea ice.
These data are stored as numpy (.npy) files. Sample reading and plotting code is provided by the Jupyter notebook.
The dataset contains measurement results of Radar Cross Section of different Unmanned Aerial Vehicles at 26-40 GHz. The measurements have been performed fro quasi-monostatic case (when the transmitter and receiver are spatially co-located) in the anechoic chamber. The data shows how radio waves are scattered by different UAVs at the specified frequency range.
Some of DJI, Walkera, Parrot and Kyosho drones were measured.
The data is in ".csv" format. Each file contains the following information: frequency, theta, phi, and RCS.
The RCS signatures of the following drone models are available:
-DJI Phantom 4 Pro
-DJI Mavic Pro
-DJI Matrice M100
-Walkera Voyager 4
-Custom built hexacopter
-Tricopter HMF600, frame only
Polarization is mentioned in the file name:
HH - horizontal polarisation of the transmitter and the receiver
HV/VH - horizontal and vertical or vice versa
VV - vertical polarization of the transmitter and the receiver
In addition, 6S LiPo battery RCS is available.
Published article can be found at: https://ieeexplore.ieee.org/document/9032332