Abstract
A signal processing method of coherent Doppler lidar (CDL) for wind measurement is proposed in this paper, which combines the H-infinity control and coherent integration. This method can improve the signal-to-noise ratio and reduce the interference; the measured wind speed will be more exact. In this paper, the basic theory of signal processing method is proposed. That includes the main idea of how to combine the two different methods and the detailed information of this two methods. Then, the simulation by MATLAB is done, and the results are given to confirm the practicality of the new idea. The wind speed deviation before and after doing the signal processing is simulated and compared. It confirms that the accuracy has improvement by using this method mentioned in this paper.











Similar content being viewed by others
References
D. Ankelhed, A. Helmersson, A. Hansson, A partially augmented Lagrangian method for low order H-infinity controller synthesis using rational constraints. IEEE Trans. Autom. Control 57(11), 2901–2905 (2012)
J.A. Carta, P. Ramírez, S. Velázquez, A review of wind speed probability distributions used in wind energy analysis: case studies in the Canary Islands. Renew. Sustain. Energy Rev. 13(5), 933–955 (2009)
X.L. Chen, X.H. Yu, J. Guan, An effective and efficient long-time coherent integration method for highly maneuvering radar target in sparse domain. 4th International Workshop on Compressed Sensing on Radar, Sonar, and Remote Sensing, pp. 124–127 (2016)
M. Gelfusa, A. Murari, A. Malizia et al., Advanced signal processing based on support vector regression for lidar applications. SPIE Remote Sens. 9643, 96430E (2015)
Y.F. Guo, Y.L. Zhang, A.K. Xue, Coherent integration weak target detection algorithm based on short time siding window. The 10th World Congress on Intelligent Control and Automation, pp. 4264–4266 (2012)
D. Illig, R. Lee, L. Mullen, Statistical signal processing technique to reduce effects of forward scatter on under modulated pulse lidar. SPIE 10186, 101860D–1 (2017)
A.M. Jorgensen, H. Schmitt, J.T. Armstrong, et al., Coherent integration results from the NPOI. Optical and Infrared Interferometry II, SPIE. 77342Q (2010)
G.J. Koch, J.Y. Beyon, P.E. Petzar et al., Field testing of a high-energy 2-\(\upmu \text{ m }\) Doppler lidar. J. Appl. Remote Sens. 4(1), 043512–043512 (2010)
V.A. Kovalev, W.E. Eichinger, Elastic Lidar: Theory, Practice, and Analysis Methods (Wiley, New York, 2004), p. xi-4
J.X. Liu, W.S. Luo, X.Z. Yang et al., Robust model-based fault diagnosis for PEM fuel cell air-feed system. IEEE Trans. Ind. Electron. 63(5), 3261–3270 (2016)
J.X. Liu, S. Vazquez, L.G. Wu et al., Extended state observer-based sliding-mode control for three-phase power converters. IEEE Trans. Ind. Electron. 64(1), 22–31 (2016)
Y.C. Ma, S.N. Li, G.H. Shan, W. Lu, D.Z. Wang, Numerical simulation of 1.55 \(\upmu \text{ m }\) coherent lidar for wind measurement. 2014 Fourth International Conference on Instrumentation and Measurement, Computer, Communication and Control (IMCCC), pp. 988–991 (2014)
B.R. Mahafza, Radar Systems Analysis and Design Using MATLAB (CRC Press, Boca Raton, 2002), pp. 165–171
T. Ogawa, G. Wanielik, Hybrid approach on LIDAR signal processing with information fusion of multiple detectors electric corporation. 19th International Conference on Information Fusion Heidelberg (2016)
D. Santoro, M. Arend, F. Moshary, et al., The challenges of implementing and testing two signal processing algorithms for high rep-rate Coherent Doppler Lidar for wind sensing. SPIE Defense + Security, 94741B (2015)
G.H. Shan, S.N. Li, D.Q. Fan, Y.C. Ma, The scattering properties of laser beam propagating in lower atmosphere at 1.55 \(\upmu \text{ m }\) Wavelength. 2014 Fourth International Conference on Instrumentation and Measurement, Computer, Communication and Control (IMCCC), pp. 600–605 (2014)
D.J. Wang, \(\text{ H }_{2}\) and H Infinity Optimal Control Theory. (HIT Press, 2001), pp. 88–148
L.G. Wu, Y.B. Gao, J.X. Liu et al., Event-triggered sliding mode control of stochastic systems via output feedback. Automatica 82, 79–92 (2017)
C.B. Xie, M. Zhao, B.A. Wang et al., Study of the scanning lidar on the atmospheric detection. J. Quant. Spectrosc. Radiat. Transf. 150, 114–120 (2015)
Y.Z. Zhu, L.X. Zhang et al., Nonstationary H-infinity dynamic output feedback control for discrete-time Markov jump linear systems with actuator and sensor saturations. Int. J. Robust Nonlinear Control 26(5), 1010–1025 (2016)
Y.Z. Zhu, L.X. Zhang et al., Benefits of redundant channels in observer-based H\(\infty \) control for discrete-time switched linear systems. Sci. China Technol. Sc. 59(1), 55–62 (2016)
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Ma, Y., Lim, Cc., Li, S. et al. H-Infinity Control in Coherent Wind Measurement Lidar Signal Processing. Circuits Syst Signal Process 37, 2824–2836 (2018). https://doi.org/10.1007/s00034-017-0710-7
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00034-017-0710-7