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Performance of Continuous-wave Coherent Doppler Lidar for Wind Measurement

  • Jiang, Shan (School of Earth and Space Science, University of Science and Technology of China) ;
  • Sun, Dongsong (School of Earth and Space Science, University of Science and Technology of China) ;
  • Han, Yuli (School of Earth and Space Science, University of Science and Technology of China) ;
  • Han, Fei (School of Earth and Space Science, University of Science and Technology of China) ;
  • Zhou, Anran (School of Earth and Space Science, University of Science and Technology of China) ;
  • Zheng, Jun (School of Earth and Space Science, University of Science and Technology of China)
  • Received : 2019.04.12
  • Accepted : 2019.06.19
  • Published : 2019.10.25

Abstract

A system for continuous-wave coherent Doppler lidar (CW lidar), made up of all-fiber structures and a coaxial transmission telescope, was set up for wind measurement in Hefei (31.84 N, 117.27 E), Anhui province of China. The lidar uses a fiber laser as a light source at a wavelength of $1.55{\mu}m$, and focuses the laser beam on a location 80 m away from the telescope. Using the CW lidar, radial wind measurement was carried out. Subsequently, the spectra of the atmospheric backscattered signal were analyzed. We tested the noise and obtained the lower limit of wind velocity as 0.721 m/s, through the Rayleigh criterion. According to the number of Doppler peaks in the radial wind spectrum, a classification retrieval algorithm (CRA) combining a Gaussian fitting algorithm and a spectral centroid algorithm is designed to estimate wind velocity. Compared to calibrated pulsed coherent wind lidar, the correlation coefficient for the wind velocity is 0.979, with a standard deviation of 0.103 m/s. The results show that CW lidar offers satisfactory performance and the potential for application in wind measurement.

Keywords

Doppler lidar;wind measurement;continuous wave laser;coherent detection;Rayleigh criterion

Acknowledgement

Supported by : National Natural Science Foundation of China, Colleges and Universities of Anhui province

References

  1. C. Hill, "Coherent focused lidars for Doppler sensing of aerosols and wind," Remote Sens. 10, 466 (2018). https://doi.org/10.3390/rs10030466
  2. X. D. Jia, D. S. Sun, Z. F. Shu, F. F. Zhang, and H. Y. Xia, "Optimal design of the telescope in coherent lidar and detection performance analysis," ATCA Opt. Sin. 35, 0301001 (2015). https://doi.org/10.3788/AOS201535.0301001
  3. E. Brinkmeyer and T. Waterholter, "Continuous wave synthetic low-coherence wind sensing Lidar: motionless measurement system with subsequent numerical range scanning," Opt. Express 21, 1872-1897 (2013). https://doi.org/10.1364/OE.21.001872
  4. P. J. Rodrigo, T. F. Q. Iversen, Q. Hu, and C. Pederson, "Diode laser lidar wind velocity sensor using a liquid-crystal retarder for non-mechanical beam-steering," Opt. Express 22, 26674-26679 (2014). https://doi.org/10.1364/OE.22.026674
  5. T. Beuth, M. Fox, and W. Stork, "Parameterization of a geometrical reaction time model for two beam nacelle lidars," Proc. SPIE 9612, 96120J (2015).
  6. M. Pitter, E. B. des Roziers, and J. Medley, "Performance stability of ZephIR in high motion environments: floating and turbine mounted," in Proc. EWEA Annual Event (Barcelona, Spain, 2014), pp. 1-13.
  7. W. Barker, M. Harris, M. Pitter, E. B. des Roziers, J. Medley, and C. Slinger, "Lidar turbulence measurements for wind turbine selection studies: design turbulence," in Proc. EWEA Annual Event (Barcelona, Spain, 2014), PO.ID: 169.
  8. Q. Hu, P. J. Rodrigo, and C. Pedersen, "Remote wind sensing with a CW diode laser lidar beyond the coherence regime," Opt. Lett. 39, 4875-4878 (2014). https://doi.org/10.1364/OL.39.004875
  9. M. Harris, M. Hand, and A. Wright, "Lidar for turbine control," in National Renewable Energy Laboratory, Technical Report (Golden, USA, Jan. 2006), TP500-39154.
  10. R. G. Frehlich and M. J. Kavaya, "Coherent laser radar performance for general atmospheric refractive turbulence," Appl. Opt. 30, 5325-5352 (1991). https://doi.org/10.1364/AO.30.005325
  11. E. Simley, L. Y. Pao, R. Frehlich, B. Jonkman, and N. Kelley, "Analysis of light detection and ranging wind speed measurements for wind turbine control," Wind Energy 17, 413-433 (2014). https://doi.org/10.1002/we.1584
  12. P. Lindelow, "Fiber based coherent lidars for remote wind sensing," Ph. D. Thesis (Technical University of Denmark, Denmark, 2007).
  13. R. Frehlich, M. H. Stephen, and S. W. Henderson, "Coherent Doppler lidar measurements of winds in the weak signal regime," Appl. Opt. 36, 3491-3499 (1997). https://doi.org/10.1364/AO.36.003491
  14. P. J. Rodrigo and C. Pedersen, "Reduction of phase-induced intensity noise in a fiber-based coherent Doppler lidar using polarization control," Opt. Express 18, 5320-5327 (2010). https://doi.org/10.1364/OE.18.005320
  15. S. W. Henderson, P. Gatt, D. Rees, and R. M. Huffaker, Laser remote sensing, T. Fujii, T. Fukuchi, ed. (CRC Press, Taylor & Francis Group, New York, USA, 2005), Chapter 7.
  16. F. Tamburini, G. Anzolin, G. Umbriaco, A. Bianchini, and C. Barbieri, "Overcoming the Rayleigh criterion limit with optical vortices," Phys. Rev. Lett. 97, 163903 (2006). https://doi.org/10.1103/PhysRevLett.97.163903
  17. R. S. Hansen and C. Pedersen, "All semiconductor laser Doppler anemometer at 1.55 ${\mu}m$," Opt. Express 16, 18288-18295 (2008). https://doi.org/10.1364/OE.16.018288
  18. D. Hosseinzadeh and S. Krishnan, "On the use of complementary spectral features for speaker recognition," EURASIP J. Adv. Signal Process. 2008, 258184 (2007). https://doi.org/10.1155/2008/258184
  19. J. S. Seo, M. Jin, S. I. Lee, D. Jang, S. J. Lee, and C. D. Yoo, "Audio fingerprinting based on normalized spectral sub-band centroids," in Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing (USA, Mar. 2005), pp. 213-216.
  20. W. Flores-Fuentes, M. Rivas-Lopez, O. Sergiyenko, F. F. Gonzalez-Navarrob, J. Rivera-Castillob, D. Hernandez-Balbuena, and J. C. Rodríguez-Quinoneza, "Combined application of power spectrum centroid and support vector machines for measurement improvement in optical scanning systems," Signal Process. 98, 37-51 (2014). https://doi.org/10.1016/j.sigpro.2013.11.008