Wind Turbine Blade Radar Signatures in the Near Field: Modeling and Experimental Confirmation

Crespo-Ballesteros, Manuel; Antoniou, Michail; Cherniakov, M.

doi:10.1109/taes.2017.2675241

Cited by 16 publications

(13 citation statements)

References 26 publications

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“…This method has high computational efficiency, but its result is obviously poor in accuracy due to its rough equivalent to actual WTs. Then there is the model with a rectangular plane to represent the WT blade [14], but the plane surface in this model cannot be used to simulate WTRE accurately either.…”

Section: Traditional Solution Methods Of Wtrementioning

confidence: 99%

“…The subpeaks occurred near the peak, and the curve characteristics of TDW near the peak are quite typical and that could be used to characterize the profile of WT blade. They have been applied in the fault detection of WT in some recent research [14].…”

Section: Wtre Simulationmentioning

confidence: 99%

“…This method is efficient in computation, but its accuracy is relatively low because the line model of WT is too rough to reflect the actual shape of WT. Though a developed model using rectangular plane to represent WT blade was proposed later in [14], but still its accuracy was not enough.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Simulation and analysis of wind turbine radar echo based on 3-D scattering point model

Zhang¹,

Hao²,

Tang³

et al. 2020

Turk J Elec Eng & Comp Sci

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Wind turbine (WT) arrays in wind farms can cause serious interference on nearby radar stations. This interference could be filtered out if wind turbine radar echo (WTRE) can be obtained accurately. Considering the singleness of in-field experiments, numerical simulation became the majority among such works, but few of them reached necessary accuracy. Therefore, we propose a solution method of WTRE based on three-dimensional (3-D) scattering point model. Firstly, we use the nonuniform rational B-spline to build the 3-D model of WT. Secondly, based on the method of moments (MoM), the Rao-Wilton-Gisson (RWG) basis function is adopted to discretize the integral area of WTRE into triangular elements, which ensures the continuity of induced current on the surface of WT. Taking the centers of triangular elements as scattering point source, we obtain the 3-D point scattering model of WT, which is then used to derive the echo equation of WT and eventually time-frequency domain waveform of WTRE. The result presents high accuracy comparing with the traditional method and scaled model experiments in an anechoic chamber. Further analysis indicates that the proposed method can be used to estimate important parameters of an operating WT accurately.

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Section: Traditional Solution Methods Of Wtrementioning

confidence: 99%

Section: Wtre Simulationmentioning

confidence: 99%

See 1 more Smart Citation

Simulation and analysis of wind turbine radar echo based on 3-D scattering point model

Zhang¹,

Hao²,

Tang³

et al. 2020

Turk J Elec Eng & Comp Sci

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show abstract

“…Investigations on signal synchronization have developed over the last decades and a large number of works on the topic can be found [2,3,4,5,6,7,8]. On the other hand, research achievements on GNSS- based SAR imaging formation have been presented in [9,10,11,12,13,14,15,16,17,18,19] from theoretical, experimental and application perspectives. Antoniou et al first proposed a modified Range-Doppler algorithm for a Galileo-based BSAR system [9].…”

Section: Introductionmentioning

confidence: 99%

A Fourier-Based Image Formation Algorithm for Geo-Stationary GNSS-Based Bistatic Forward-Looking Synthetic Aperture Radar

Zeng

Shi

Xing

et al. 2019

Sensors

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A Geo-Stationary GNSS-based Bistatic Forward-Looking Synthetic Aperture Radar (GeoSta-GNSS-BFLSAR) system is a particular kind of passive bistatic SAR system. In this system, a geo-stationary GNSS is used as the transmitter, while the receiver is deployed on a moving aircraft, which travels towards a target in a straight line. It is expected that such a radar system has potential for self-landing, self-navigation and battlefield information acquisition applications, etc. Up to now, little information from a research perspective can be found about GeoSta-GNSS-BFLSAR systems. To address this information gap, this paper proposes a preliminary image formation algorithm for GeoSta-GNSS-BFLSAR. The full details of the mathematical derivation are given. It is highlighted that, to overcome the long dwell time and spatial variance of GeoSta-GNSS-BFLSAR, a modified migration correction factor must be designed. In addition, the system performances and technical limitations of GeoSta-GNSS-BFLSAR such as focusing depth and spatial resolution are analytically discussed. In the end, a set of simulations including the image formation algorithm, focusing depth and spatial resolution were conducted for verification. It is demonstrated that the focusing performances of the proposed algorithm have a high level of similarity with the theoretical counterparts. This article thus proves the feasibility of GeoSta-GNSS-BFLSAR systems from a simulation level and establishes a foundation for the real applications of such a radar scheme in the future.

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“…For imaging the rotor blade, the rotation of the blades can be exploited in the sense of an inverse synthetic aperture radar [23, 24]. Moreover, it is required to consider the time‐varying nature of the blades radar signature during operation [25].…”

Section: Introductionmentioning

confidence: 99%

Design of a sparse antenna array for radar‐based structural health monitoring of wind turbine blades

Arnold

Moll

Krozer

2017

IET Radar, Sonar & Navigation

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Wind Turbine Blade Radar Signatures in the Near Field: Modeling and Experimental Confirmation

Cited by 16 publications

References 26 publications

Simulation and analysis of wind turbine radar echo based on 3-D scattering point model

Simulation and analysis of wind turbine radar echo based on 3-D scattering point model

A Fourier-Based Image Formation Algorithm for Geo-Stationary GNSS-Based Bistatic Forward-Looking Synthetic Aperture Radar

Design of a sparse antenna array for radar‐based structural health monitoring of wind turbine blades

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