Dynamic radar cross-section characteristic analysis of wind turbine based on scaled model experimental
Dynamic radar cross-section characteristic analysis of wind turbine based on scaled model experimental
Accurately acquiring and analyzing the dynamic radar cross-section (RCS) of wind turbine have a greatsignificance to solve the reradiation interference between wind farms and radar stations. Since the results of highfrequency approximation algorithm are only applicable to the qualitative analysis of electromagnetic scattering, it isalmost impossible to accurately acquire the dynamic RCS of wind turbine in actual engineering cases. To this end,we proposed to acquire the dynamic RCS of wind turbine based on the scaled model experimental measurement in alarge anechoic chamber. The key techniques of setting up the scaled model as well as the experimental platform weredescribed based on the principle of electromagnetic similarity. The accuracy of experimental result is verified by thecomparison with numerical calculation and full-sized experiment reported in literature. By using the control variablemethod, we were able to measure and analyze the amplitude and phase variation of dynamic RCS with frequency,azimuth, and rotational speed, and achieved the transformation of RCS data into engineering practice. This not onlylays a foundation for solving the reradiation interference between wind farms and radar stations, but also provides datasupport for subsequent theoretical research.
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- [1] Karabayir O, Yucedag SM, Coskun AF, Yucedag OM, Serim HA et al. Wind turbine signal modelling approach
for pulse Doppler radars and applications. IET Radar, Sonar and Navigation 2015; 9(3): 276-284. doi: 0.1049/ietrsn.2014.0094
- [2] Krich SI, Montanari M, Amendolare V, Berestesky P. Wind turbine interference mitigation using a waveform diversity radar. IEEE Transactions on Aerospace and Electronic Systems 2017; 53(2): 805-815. doi:
10.1109/TAES.2017.2665143
- [3] Wu RB, Mao J, Wang XL, Jia QQ. Target detection of primary surveillance radar in wind farm clutter. Journal of
Electronics and Information Technology 2013; 35(3): 754-758 (in Chinese). doi: 10.3724/SP.J.1146.2012.00923
- [4] Angulo I, Grande O, Jenn D, Guerra D, Vega D. Estimating reflectivity values from wind turbines for analyzing
the potential impact on weather radar services. Atmospheric Measurement Techniques Discussions 2015; 8(2):
1477-1509. doi: 10.5194/amt-8-2183-2015
- [5] Tang B, Liu R, Zhang JG, Liu XF, Sun R et al. Doppler characteristics of wind turbine blades based on dynamic
RCS. High Voltage Engineering 2017; 43(10): 3435-3442 (in Chinese). doi: 10.13336/j.1003-6520.hve.20170925035
- [6] Danoon LR, Brown AK. Modeling methodology for computing the radar cross section and doppler signature of wind
farms. IEEE Transactions on Antennas and Propagation 2013; 61(10): 5166-5174. doi: 10.1109/TAP.2013.2272454
- [7] Kent BM, Hil KC, Butebaugh A, Zelinski G, Hawley R et al. Dynamic radar cross section and radar doppler
measurements of commercial general electric windmill power turbines part 1: Predicted and measured radar
signatures. IEEE Antennas and Propagation Magazine 2008; 50(2): 211-219. doi: 10.1109/MAP.2008.4562424
- [8] Bornkessel C, Schulze S, Hein MA. Measured impact of electromagnetic scattering off wind turbines on broadcast
signal propagation. In: IEEE 2016 German Microwave Conference; Bochum, Germany; 2016. pp. 425-428. doi:
10.1109/GEMIC.2016.7461646
- [9] Ballesteros MC, Antoniou M, Cherniakov M. Wind turbine blade radar signatures in the near field: Modeling and
Experimental Confirmation. IEEE Transactions on Aerospace and Electronic Systems 2017; 53(4): 1916-1931. doi:
10.1109/TAES.2017.2675241
- [10] La TV, Pennec FL, Comblet F, Elenga S. 3.5 kW wind turbine for cellular base station: Radar cross section
modelling and measurement. In: IEEE 2014 44th European Microwave Conference; Rome, Italy; 2014. pp. 143-146.
doi: 10.1109/EuMC.2014.6986390
- [11] Zhang Y, Huston A, Palmer RD, Alberston R, Kong FX et al. Using scaled models for wind turbine EM scattering
characterization: techniques and experiments. IEEE Transactions on Instrumentation and Measurement 2011; 60(4):
1298-1306. doi: 10.1109/TIM.2010.2085271
- [12] Saynak U, Karahan HA, Coskun AF, Yucedag SM, Aldirmaz S et al. Preliminary set of analysis for the assessment
of wind turbines which are in the line-of-sight of radar, navigation and communications systems. IET Radar, Sonar
and Navigation 2014; 5(8): 415-424. doi: 10.1049/iet-rsn.2013.0228
- [13] Nai F, Torres S, Palmer R. On the mitigation of wind turbine clutter for weather radars using range-doppler spectral
processing. IET Radar, Sonar and Navigation 2013; 7(2): 178-190. doi: 10.1049/iet-rsn.2012.0225
- [14] Li CJ, Bhalla R, Ling H. Investigation of the dynamic radar signatures of a vertical-axis wind turbine. IEEE
Antennas and Wireless Propagation Letters 2015; 14: 763-766. doi: 10.1109/LAWP.2014.2377693
- [15] He WK, Shi YL, Wang XL, Ma YZ, Wu RB. Simulation and analysis of wind turbine echoes. Journal of System
Simulation 2015; 27(1): 50-56 (in Chinese). doi: 10.16182/j.cnki.joss.2015.01.006