A Measurement-Based Multipath Channel Model for Signal Propagation in Presence of Wind Farms in the UHF Band

Angulo, Itziar; Montalbán, Jon; Cañizo, Josune; Wu, Yiyan; Vega, David; Guerra, D.; Angueira, Pablo; Arrinda, Amaia

doi:10.1109/tcomm.2013.101113.130144

Cited by 9 publications

(3 citation statements)

References 19 publications

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“…The expression proposed in (Siegel et al, 1995) was adapted to a circular cylinder and simplified to avoid indeterminate forms as described in Appendix A of Angulo et al (2013). As for radar applications only backscattering is of interest, the formulae in Angulo et al (2013) for a circular cylinder can be further simplified assuming that θ t = θ r and φ = 0 • and expressed as…”

Section: Scattering From the Mastmentioning

confidence: 99%

Estimating reflectivity values from wind turbines for analyzing the potential impact on weather radar services

et al. 2015

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Abstract. The World Meteorological Organization (WMO) has repeatedly expressed concern over the increasing number of impact cases of wind turbine farms on weather radars. Current signal processing techniques to mitigate wind turbine clutter (WTC) are scarce, so the most practical approach to this issue is the assessment of the potential interference from a wind farm before it is installed. To do so, and in order to obtain a WTC reflectivity model, it is crucial to estimate the radar cross section (RCS) of the wind turbines to be built, which represents the power percentage of the radar signal that is backscattered to the radar receiver.For the proposed model, a representative scenario has been chosen in which both the weather radar and the wind farm are placed on clear areas; i.e., wind turbines are supposed to be illuminated only by the lowest elevation angles of the radar beam.This paper first characterizes the RCS of wind turbines in the weather radar frequency bands by means of computer simulations based on the physical optics theory and then proposes a simplified model to estimate wind turbine RCS values. This model is of great help in the evaluation of the potential impact of a certain wind farm on the weather radar operation.

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Section: Scattering From the Mastmentioning

confidence: 99%

Estimating reflectivity values from wind turbines for analyzing the potential impact on weather radar services

et al. 2015

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“…In Siegel et al (1955) the RCS pattern of an elliptic cylinder is obtained as a function of its dimensions and the angular positions of the transmitter and receiver in both the vertical and the horizontal planes. The expression proposed in (Siegel et al, 1995) was adapted to a circular cylinder and simplified to avoid indeterminate forms as described in Appendix A of Angulo et al (2013). As for radar applications only backscattering is of interest, the formulae in Angulo et al (2013) for a circular cylinder can be further simplified assuming that θ t = θ r and φ = 0 • and expressed as…”

Section: Scattering From the Mastmentioning

confidence: 99%

Estimating reflectivity values from wind turbines for analyzing the potential impact on weather radar services

Angulo¹,

Grande²,

Jenn³

et al. 2015

Preprint

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Abstract. The World Meteorological Organization (WMO) has repeatedly expressed concern over the increasing number of impact cases of wind turbine farms on weather radars. Since nowadays signal processing techniques to mitigate Wind Turbine Clutter (WTC) are scarce, the most practical approach to this issue is the assessment of the potential interference from a wind farm before it is installed. To do so, and in order to obtain a WTC reflectivity model, it is crucial to estimate the Radar Cross Section (RCS) of the wind turbines to be built, which represents the power percentage of the radar signal that is backscattered to the radar receiver. This paper first characterizes the RCS of wind turbines in the weather radar frequency bands by means of computer simulations based on the Physical Optics theory, and then proposes a simplified model to estimate wind turbine RCS values. This model is of great help in the evaluation of the potential impact of a certain wind farm on the weather radar operation.

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“…The near field effect, in the context of signal scattering and for monostatic reception, results in a reduction in the amplitude of the main lobe of the scattering pattern [ 39 ]. This effect can be comparable to considering an equivalent sized object instead of its actual size [ 41 – 43 ]. This equivalent size or “length in near field conditions” ( L nf ) is calculated according to the following expression:

where R is the distance from the radar to the object and λ is the radar wavelength.…”

Section: Near Field Effects In the Scattering Analysismentioning

confidence: 99%

Simplified Formulae for the Estimation of Offshore Wind Turbines Clutter on Marine Radars

Grande

Cañizo

Angulo

et al. 2014

The Scientific World Journal

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The potential impact that offshore wind farms may cause on nearby marine radars should be considered before the wind farm is installed. Strong radar echoes from the turbines may degrade radars' detection capability in the area around the wind farm. Although conventional computational methods provide accurate results of scattering by wind turbines, they are not directly implementable in software tools that can be used to conduct the impact studies. This paper proposes a simple model to assess the clutter that wind turbines may generate on marine radars. This method can be easily implemented in the system modeling software tools for the impact analysis of a wind farm in a real scenario.

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A Measurement-Based Multipath Channel Model for Signal Propagation in Presence of Wind Farms in the UHF Band

Cited by 9 publications

References 19 publications

Estimating reflectivity values from wind turbines for analyzing the potential impact on weather radar services

Estimating reflectivity values from wind turbines for analyzing the potential impact on weather radar services

Estimating reflectivity values from wind turbines for analyzing the potential impact on weather radar services

Simplified Formulae for the Estimation of Offshore Wind Turbines Clutter on Marine Radars

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