Abstract
In this paper, we propose to use an iterative adaptive approach to perform the Doppler processing in ground-based surveillance radar for drone detection. It overcomes the limited dwell time and improves the Doppler resolution, and therefore significantly enhances the discrimination of micro-Doppler signature and the correct classification of drones. In addition, the target detectability is also improved. This approach is validated in the field experiments conducted with a commercial portable ground-based surveillance radar.
| Original language | English |
|---|---|
| Article number | 8631137 |
| Pages (from-to) | 3667-3673 |
| Number of pages | 7 |
| Journal | IEEE Transactions on Aerospace and Electronic Systems |
| Volume | 55 |
| Issue number | 6 |
| DOIs | |
| State | Published - Dec 2019 |
Keywords
- Doppler resolution
- drone detection
- ground-based surveillance radar
- iterative adaptive approach (IAA)
- micro-Doppler
Fingerprint
Dive into the research topics of 'Improving the Doppler Resolution of Ground-Based Surveillance Radar for Drone Detection'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver