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Augmenting the signal processing–based mitigation techniques for removing wind turbine and radar interference
- Source :
- Wind Engineering. 46:670-680
- Publication Year :
- 2020
- Publisher :
- SAGE Publications, 2020.
-
Abstract
- The interference between wind turbine generators and radar is now being considered as one of the major deterrents towards seeking clearance for new wind energy project. The windfarm developers have to seek clearance from Civil Air Traffic Control and Defence Department certifying that the windfarms will not create interference with radars. The tower of wind turbine generator along with blades presents a large radar cross section to radars, thus creating static clutter; moreover, rotation of wind turbine generator blades creates Doppler ambiguities which confuse radar operators. Many radar designers have proposed mitigation techniques to overcome this issue; however, each technique has its own limitation. The study takes a two-pronged approach to address the issue of wind turbine generator static clutter due to tower and blades and the resolution of Doppler ambiguities through signal processing–based mitigation techniques. In addition, the study also suggests the use of micro-Doppler techniques for signature identification of wind turbine generator blades for eliminating their effect during the radar signal processing. The article presents a step-by-step mitigation technique to resolve the wind turbine generator and radar interference issue.
- Subjects :
- Signal processing
Radar interference
Wind power
Renewable Energy, Sustainability and the Environment
Computer science
business.industry
020209 energy
Energy Engineering and Power Technology
020206 networking & telecommunications
02 engineering and technology
Kalman filter
Turbine
law.invention
symbols.namesake
Interference (communication)
law
0202 electrical engineering, electronic engineering, information engineering
Electronic engineering
symbols
Radar
business
Doppler effect
Subjects
Details
- ISSN :
- 2048402X and 0309524X
- Volume :
- 46
- Database :
- OpenAIRE
- Journal :
- Wind Engineering
- Accession number :
- edsair.doi...........f1575d322f73f98cfc2a92f0e23fe14e