Abstract
The Pulse Coherent Wind Lidar has a wide practical prospect in the field of atmospheric sounding. However, it confronts the contradiction that the spectral resolution and the range resolution can’t be improved at the same time under the technology of conventional spectrum analysis. Based on the motion’s continuity of the aerial aerosol and the air molecular space, this paper proposes a time-domain sliding DFT, which expanded the number of points in the database, to analyze the radial sampling data. then, the spectrum analysis results of traditional DFT, sliding DFT and windowing & sliding DFT were simulated in this paper; finally, the speed accuracy of above three methods were compared. The result shows that sliding DFT can effectively improve spectrum resolution and range resolution, but the speed accuracy is significantly influenced by wind speed shear, and the window functions can be adopted to restrain spectrum peak widening/multi-peak phenomenon so as to effectively control the speed accu-racy.
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References
Krishnamurthy, R., Choukulkar, A., Calhoun, R., Fine, J., Oliver, A., Barr, K.S.: Coherent doppler lidar for wind farm characterization. Wind Energ. 16(2), 9 (2012)
Ando, T., Kameyama, S., Hirano, Y.: All-fiber coherent doppler LIDAR technologies at Mitsubishi electric corporation. IOP Conf. Ser. Earth Environ. Sci. 1(1) (2008)
Devara, P.C.S., Jaya Rao, Y., Sonbawne, S.M., Manoj, M.G., Dani, K.K., Saha, S.K.: First results of compact coherent doppler wind lidar and its validation at IITM Pune, India. Met. Apps. 22(2), 156–164 (2015)
Kameyama, S., Ando, T., Asaka, K., Hirano, Y., Wadaka, S.: Compact all-fiber pulsed coherent doppler lidar system for wind sensing. Appl. Opt. 46(11) (2007)
Zhu, X., Liu, J., Bi, D., Zhou, J., Diao, W., Chen, W.: Development of all-solid coherent doppler wind lidar. Chin. Opt. Lett. 01, 64–66 (2012)
Frehlich, R., Cornman, L.: Coherent doppler lidar signal spectrum with wind turbulence. Appl. Opt. 38(36), 7456–7466 (2008)
Wang, H., Zhang, F., Liu, M., Zhang, S.: Method for determining wind speed of wind profile radar. In: Sichuan: CN105022036A, (Chinese), 04 November 2015
Li, L., Zhu, R., Yang, Y.M., Xu, M., Chen, F.: Rife-vincent (I) window interpolated FFT algorithm based on cubic spline function. Adv. Mater. Res. 2481(732) (2013)
Wang, W.: Research and application of atmospheric wind field model. National University of Defense Technology (Chinese) (2009)
van der Byl, A., Inggs, M.R.: Constraining error—a sliding discrete Fourier transform investigation. Digital Sig. Process. 51, 54–61 (2016)
Chandrasekaran, S., Ragavan, K.: Reference current extraction through sliding DFT assisted single phase p-q theory for shunt active power filter. Int. J. Emerg. Electr. Power Syst. 14(2), 149–158 (2013)
Hashimoto, T., Ishida, Y.: An adaptive I-PD controller based on frequency domain system identification. ISA Trans. 39(1), 71–78 (2000)
Zhao, X., Ren, S.: Band-pass digital filter window function method design and spectrum leak analysis based on MATLAB. Adv. Mater. Res. 2428(706) (2013)
Acknowledgement
National public welfare industry (meteorological) research special (GYHY201406038), Science & Technology Department of Sichuan Province (2016JY0106), Education Department of Sichuan Province (16ZA0209).
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Zhang, F., Qi, Y., Wang, H. (2019). Sliding DFT for Spectrum Analysis of Coherent Wind Lidar. In: Liang, Q., Mu, J., Jia, M., Wang, W., Feng, X., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2017. Lecture Notes in Electrical Engineering, vol 463. Springer, Singapore. https://doi.org/10.1007/978-981-10-6571-2_131
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DOI: https://doi.org/10.1007/978-981-10-6571-2_131
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