Abstract
This paper describes the system architecture and performance of the FAROS-E 77 GHz radar designed and built at the University of St Andrews for real time drone detection and classification (drone vs non-drone). The motivation behind the system is to demonstrate a highly reliable drone classification sensor for security surveillance in a compact, low-cost and potentially portable form factor. The low phase noise, coherent architecture exploits the high Doppler sensitivity available at millimeter wave frequencies, to enable robust micro-Doppler signature analysis and classification. Outdoor trials of FAROS-E have yielded high fidelity data and shown very promising results as a short-range system capable of detecting a DJI Phantom Standard 3 up to similar to 300 m and classifying it up to similar to 150 m. The classification algorithm is capable of classifying the presence of a drone even when it is hovering stationary.
| Original language | English |
|---|---|
| Title of host publication | 2021 21st International Radar Symposium (IRS) |
| Editors | Galina Lange |
| Publisher | IEEE |
| Number of pages | 6 |
| ISBN (Electronic) | 9781665439213 |
| ISBN (Print) | 9783944976310 |
| DOIs | |
| Publication status | Published - 2 Jul 2021 |
| Event | 2021 21st International Radar Symposium - Berlin, Germany Duration: 21 Jun 2021 → 22 Jun 2021 Conference number: 21 https://www.dgon-irs.org/home/ |
Publication series
| Name | International Radar Symposium (IRS) |
|---|---|
| Publisher | IEEE |
| Volume | 21 |
| ISSN (Print) | 2155-5745 |
| ISSN (Electronic) | 2155-5753 |
Conference
| Conference | 2021 21st International Radar Symposium |
|---|---|
| Abbreviated title | IRS |
| Country/Territory | Germany |
| City | Berlin |
| Period | 21/06/21 → 22/06/21 |
| Internet address |
Keywords
- Phantoms
- Real-time systems
- Surveillance
- Airborne radar
- Millimeter wave radar
- Phase noise
- Radar detection