Simulating UAV micro-Doppler using dynamic point clouds figure datasets

Dataset

Description

Underlying csv files for simulated spectrograms presented in the paper.

phantom3_prop_0_degrees.csv
File: application/octet-stream, 0.99 MB
Type: Dataset
Licence: CC BY
joyance_1_10_degrees.csv
File: application/octet-stream, 1.26 MB
Type: Dataset
Licence: CC BY
phantom3_prop_10_degrees.csv
File: application/octet-stream, 0.99 MB
Type: Dataset
Licence: CC BY
phantom3_prop_30_degrees.csv
File: application/octet-stream, 0.99 MB
Type: Dataset
Licence: CC BY
phantom3_prop_50_degrees.csv
File: application/octet-stream, 0.99 MB
Type: Dataset
Licence: CC BY
s900_prop_10_degrees.csv
File: application/octet-stream, 1.83 MB
Type: Dataset
Licence: CC BY
s900_prop_60_degrees.csv
File: application/octet-stream, 1.84 MB
Type: Dataset
Licence: CC BY
S900_propmotor_40_degrees.csv
File: application/octet-stream, 1.83 MB
Type: Dataset
Licence: CC BY
README.md
File: application/octet-stream, 515 bytes
Type: Dataset
Licence: CC BY

Simulating UAV micro-Doppler using dynamic point clouds
Moore, M., Robertson, D. A. & Rahman, S., 21 Mar 2022, 2022 IEEE Radar Conference (RadarConf22) Proceedings. Lo Monte, L., Himed, B., Onorato, J., Blunt, S. & Rosenberg, L. (eds.). Piscataway, NJ: IEEE, 6 p.
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution