BISTATIC SCATTERING CHARACTERISTICS OF A WIND PARK TURBINE DERIVED FROM AN UAV-MOUNTED RECEIVER RECORDING C-BAND WEATHER RADAR SIGNALS
As a result of increasing use of wind energy as a sustainable source of electricity, large Wind Parks with numerous Wind Turbines have been constructed. Wind turbines are extremely tall objects consisting of stationary and moving parts. The presence of wind turbines in the vicinity of weather radar...
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2023-08-01
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| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | https://isprs-archives.copernicus.org/articles/XLVIII-M-1-2023/485/2023/isprs-archives-XLVIII-M-1-2023-485-2023.pdf |
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| author | E. Colak B. V. Patel A. Vyas R. Zichner M. Chandra |
| author_facet | E. Colak B. V. Patel A. Vyas R. Zichner M. Chandra |
| author_sort | E. Colak |
| collection | DOAJ |
| description | As a result of increasing use of wind energy as a sustainable source of electricity, large Wind Parks with numerous Wind Turbines have been constructed. Wind turbines are extremely tall objects consisting of stationary and moving parts. The presence of wind turbines in the vicinity of weather radar systems can significantly impact their performance, leading to false alarms and errors in radar measurements. Accurate weather forecasting is challenging in this circumstance. Large Radar Cross Section (RCS) of wind turbines results in interference, also known asWind Turbine Clutter (WTC) orWind Turbine Interference (WTI), within and beyond the radar main beam, Multipath Interference (MPI), and phenomena referred to as ”shadowing effects” behind the wind turbines. These effects vary significantly in both time and space as a result of various wind turbine operations and meteorological conditions. It can often be difficult to distinguish wind turbine returns from weather-like signals. For the assessment of WTC or WTI, it is essential to understand the scattering properties of these wind turbines. In this paper, the bistatic scattering characteristics of a wind park turbine using a Unmanned Aerial Vehicle (UAV)-mounted receiver recording C-band weather radar signals were investigated by determining the average received power (<i>P</i><sub><i>Rx</i><sub><i>Avg</i></sub></sub> (<i>θ</i><sub><i>s</i></sub>)) and RCS of wind turbine as a function of the scattering angle. For this purpose, the measurements and data provided by the German Meteorological Service (DWD, DeutscherWetterdienst) were utilised. The average received power as a function of scattering angle (<i>θ</i><sub><i>s</i></sub>) was calculated by using I-Q (In-phase and Quadrature) signals. Forward, back and side scattering of the calculated average received power were analysed separately. Moreover, Front-to-Back ratio, Front-to-Right side ratio and Front-to-Left side ratio were calculated and compared using forward, back and side scatter values. RCS values were also calculated depending on the scattering angle (<i>θ</i><sub><i>s</i></sub>) of the wind turbine. |
| first_indexed | 2024-03-12T14:49:39Z |
| format | Article |
| id | doaj.art-4d17408b630b458eb52797260df1a9d9 |
| institution | Directory Open Access Journal |
| issn | 1682-1750 2194-9034 |
| language | English |
| last_indexed | 2024-03-12T14:49:39Z |
| publishDate | 2023-08-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| spelling | doaj.art-4d17408b630b458eb52797260df1a9d92023-08-15T16:36:13ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342023-08-01XLVIII-M-1-202348549010.5194/isprs-archives-XLVIII-M-1-2023-485-2023BISTATIC SCATTERING CHARACTERISTICS OF A WIND PARK TURBINE DERIVED FROM AN UAV-MOUNTED RECEIVER RECORDING C-BAND WEATHER RADAR SIGNALSE. Colak0B. V. Patel1A. Vyas2R. Zichner3M. Chandra4Chemnitz University of Technology, Faculty of Electrical Engineering and Information Technology, Professorship of Microwave Engineering, 09107 Chemnitz, GermanyChemnitz University of Technology, Faculty of Electrical Engineering and Information Technology, Professorship of Microwave Engineering, 09107 Chemnitz, GermanyChemnitz University of Technology, Faculty of Electrical Engineering and Information Technology, Professorship of Microwave Engineering, 09107 Chemnitz, GermanyChemnitz University of Technology, Faculty of Electrical Engineering and Information Technology, Professorship of Microwave Engineering, 09107 Chemnitz, GermanyChemnitz University of Technology, Faculty of Electrical Engineering and Information Technology, Professorship of Microwave Engineering, 09107 Chemnitz, GermanyAs a result of increasing use of wind energy as a sustainable source of electricity, large Wind Parks with numerous Wind Turbines have been constructed. Wind turbines are extremely tall objects consisting of stationary and moving parts. The presence of wind turbines in the vicinity of weather radar systems can significantly impact their performance, leading to false alarms and errors in radar measurements. Accurate weather forecasting is challenging in this circumstance. Large Radar Cross Section (RCS) of wind turbines results in interference, also known asWind Turbine Clutter (WTC) orWind Turbine Interference (WTI), within and beyond the radar main beam, Multipath Interference (MPI), and phenomena referred to as ”shadowing effects” behind the wind turbines. These effects vary significantly in both time and space as a result of various wind turbine operations and meteorological conditions. It can often be difficult to distinguish wind turbine returns from weather-like signals. For the assessment of WTC or WTI, it is essential to understand the scattering properties of these wind turbines. In this paper, the bistatic scattering characteristics of a wind park turbine using a Unmanned Aerial Vehicle (UAV)-mounted receiver recording C-band weather radar signals were investigated by determining the average received power (<i>P</i><sub><i>Rx</i><sub><i>Avg</i></sub></sub> (<i>θ</i><sub><i>s</i></sub>)) and RCS of wind turbine as a function of the scattering angle. For this purpose, the measurements and data provided by the German Meteorological Service (DWD, DeutscherWetterdienst) were utilised. The average received power as a function of scattering angle (<i>θ</i><sub><i>s</i></sub>) was calculated by using I-Q (In-phase and Quadrature) signals. Forward, back and side scattering of the calculated average received power were analysed separately. Moreover, Front-to-Back ratio, Front-to-Right side ratio and Front-to-Left side ratio were calculated and compared using forward, back and side scatter values. RCS values were also calculated depending on the scattering angle (<i>θ</i><sub><i>s</i></sub>) of the wind turbine.https://isprs-archives.copernicus.org/articles/XLVIII-M-1-2023/485/2023/isprs-archives-XLVIII-M-1-2023-485-2023.pdf |
| spellingShingle | E. Colak B. V. Patel A. Vyas R. Zichner M. Chandra BISTATIC SCATTERING CHARACTERISTICS OF A WIND PARK TURBINE DERIVED FROM AN UAV-MOUNTED RECEIVER RECORDING C-BAND WEATHER RADAR SIGNALS The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| title | BISTATIC SCATTERING CHARACTERISTICS OF A WIND PARK TURBINE DERIVED FROM AN UAV-MOUNTED RECEIVER RECORDING C-BAND WEATHER RADAR SIGNALS |
| title_full | BISTATIC SCATTERING CHARACTERISTICS OF A WIND PARK TURBINE DERIVED FROM AN UAV-MOUNTED RECEIVER RECORDING C-BAND WEATHER RADAR SIGNALS |
| title_fullStr | BISTATIC SCATTERING CHARACTERISTICS OF A WIND PARK TURBINE DERIVED FROM AN UAV-MOUNTED RECEIVER RECORDING C-BAND WEATHER RADAR SIGNALS |
| title_full_unstemmed | BISTATIC SCATTERING CHARACTERISTICS OF A WIND PARK TURBINE DERIVED FROM AN UAV-MOUNTED RECEIVER RECORDING C-BAND WEATHER RADAR SIGNALS |
| title_short | BISTATIC SCATTERING CHARACTERISTICS OF A WIND PARK TURBINE DERIVED FROM AN UAV-MOUNTED RECEIVER RECORDING C-BAND WEATHER RADAR SIGNALS |
| title_sort | bistatic scattering characteristics of a wind park turbine derived from an uav mounted receiver recording c band weather radar signals |
| url | https://isprs-archives.copernicus.org/articles/XLVIII-M-1-2023/485/2023/isprs-archives-XLVIII-M-1-2023-485-2023.pdf |
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