Abstract
This paper presents an algorithm which extracts HElicopter Rotation Modulation (HERM) line features from spectrograms of multi-rotor drones from physical flights that is able to estimate the number of rotors on the drone, the blade revolution rate for each rotor and the blade length. The algorithm is validated using spectrogram data of drones from an L-band radar. Both synthetic data and real data (from two different sized drones) are used to develop the algorithm and test its robustness. It is shown that, compared to truth information, the errors in the extracted parameters are low, and the error rate in the rotor speed of the two drones is less than 1% for the case when the SNR is high.
| Original language | English |
|---|---|
| Title of host publication | International Conference on Radar Systems (RADAR 2022) |
| Publisher | Institution of Engineering and Technology (IET) |
| Pages | 20-25 |
| Number of pages | 6 |
| Volume | 2022 |
| Edition | 17 |
| ISBN (Electronic) | 9781839537776 |
| DOIs | |
| Publication status | Published - 7 Feb 2023 |
| Event | 2022 International Conference on Radar Systems, RADAR 2022 - Edinburgh, Virtual, United Kingdom Duration: 24 Oct 2022 → 27 Oct 2022 |
Conference
| Conference | 2022 International Conference on Radar Systems, RADAR 2022 |
|---|---|
| Country/Territory | United Kingdom |
| City | Edinburgh, Virtual |
| Period | 24/10/22 → 27/10/22 |
Bibliographical note
Publisher Copyright:© 2022 IET Conference Proceedings. All rights reserved.
Keywords
- FEATURE EXTRACTION
- HERM LINE
- PULSE RADAR
- UAVs SPECTROGRAM
ASJC Scopus subject areas
- General Engineering