A Novel Algorithm for Identifying Radar Clutter Caused by Wind Farm Interference
Wind turbine radar echoes can significantly interfere with meteorological target detection, affecting weather predictions and disaster warnings. This paper proposes a Wind Turbine Clutter Recognition (WTC-RF) algorithm using Random Forest classification. With training and optimization, the algorithm achieves over 90% accuracy in recognizing wind turbine clutter. Testing on various secondary radar data confirms its ability to effectively detect and identify wind farm clutter.
Authors
- Ling Li (ORCID: https://orcid.org/0000-0001-9722-9503)
- Qiangyu Zeng (ORCID: https://orcid.org/0000-0003-1123-2790)
- Z. Ren (ORCID: https://orcid.org/0009-0000-3917-6124)
- Hao Wang (ORCID: https://orcid.org/0000-0003-0090-2840)
- Jianxin He
Institutions
- Chengdu University of Information Technology (CN)
Publication Details
- Published
- 2024-11-22
- DOI
- https://doi.org/10.1109/icsidp62679.2024.10869043
- Citations
- 1
- Primary Topic
- Radar Systems and Signal Processing
- Type
- article
- Field-Weighted Citation Impact
- 1.30
Funders
- National Natural Science Foundation of China
- China Meteorological Administration
- Technology Development