Performance of Discrete-Fourier-Transform-Based Velocity Estimators for a Wind-Sensing Coherent Doppler Lidar System in the Kolmogorov Turbulence Regime

Kameyama, Shumpei; Ando, Toshiyuki; Asaka, Kota; Hirano, Y.; Wadaka, Shusou

doi:10.1109/tgrs.2009.2022062

Cited by 21 publications

(9 citation statements)

References 28 publications

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“…The Doppler effect is used in velocity measurements of wind profile Lidar [35,42]. When there is a relative velocity between the target and the Lidar, the received echo signal will produce a frequency shift relative to the transmitted signal, which is the Doppler frequency shift.…”

Section: Methods Of Wind Field Retrievalmentioning

confidence: 99%

Section: Coherent Wind Measurement Lidar System Of Wind Profilementioning

confidence: 99%

“…In the digital processing circuit part, the power spectrum of the sampled echo signal is estimated, and the Doppler frequency shift is extracted. Finally, the wind speed information is retrieved through the Doppler frequency shift in the echo signal [35,36]. In this study, we used a pulsed Doppler Lidar system manufactured by Technovo Lidar High Tech Co. Ltd, Hefei, China (model KC-WL-2006 Lidar).…”

Section: Coherent Wind Measurement Lidar System Of Wind Profilementioning

confidence: 99%

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Data Processing and Analysis of Eight-Beam Wind Profile Coherent Wind Measurement Lidar

Zhao

Zhang

et al. 2021

Remote Sensing

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Real-time measurement of atmospheric wind field parameters plays an important role in weather analysis and forecasting, including improving the efficiency of wind energy, particle tracking, boundary layer measurements, and airport security. In this study, a wind profile coherent wind Light Detection and Ranging (Lidar) measurement with a wavelength of 1.55 µm was developed and demonstrated based on the principle of eight-beam velocimetry. The wind speed information was retrieved, and vertical and horizontal profiles were calculated via power spectrum estimation of sampled echo signals through the measurement of the atmospheric wind field in Hefei for several consecutive days. The experimental results show that the wind profiles produced using different techniques are quite consistent and the standard error is less than 0.42 m/s compared with three-beam and five-beam wind measurements.

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Section: Methods Of Wind Field Retrievalmentioning

confidence: 99%

Section: Coherent Wind Measurement Lidar System Of Wind Profilementioning

confidence: 99%

Section: Coherent Wind Measurement Lidar System Of Wind Profilementioning

confidence: 99%

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Data Processing and Analysis of Eight-Beam Wind Profile Coherent Wind Measurement Lidar

Zhao

Zhang

et al. 2021

Remote Sensing

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“…As for natural aerosol targets, backscattered field at each aerosol particle has a random phase, and the mutual coherence function of the total backscattered field is the integration of all mutual coherence functions from each aerosol particle. The SNR range dependence equation is expressed as [19]:…”

Section: Coherent Lidar Signal Range Dependencementioning

confidence: 99%

Coherent Doppler Lidar for Wind Sensing

Abdelazim¹,

Santoro²,

Arend³

et al. 2020

Spatial Variability in Environmental Science - Patterns, Processes, and Analyses [Working Title]

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An eye-safe all-fiber Coherent Doppler Lidar for wind sensing system has been developed and tested at the Remote Sensing Laboratory of the City College of New York, New York, NY. The system, which operates at a 20 kHz pulse repetition rate and acquires lidar return signals at 400 MSample/s, accumulates signals that are as much as 20 dB lower than the receiver noise power by using embedded programming techniques. Two FPGA embedded programming algorithms are designed and compared. In the first algorithm, power spectra of return signals are calculated and accumulated for different range gates. Line of sight wind speed estimates can then be calculated after transferring the range gated accumulated power spectra to a host computer. In the second FPGA algorithm, a digital IQ demodulator and down sampler allow an autocorrelation matrix representing a pre-selected number of lags to be accumulated. Precision in the velocity measurements is estimated to be on the order of 0.08 m/s and the precision in the measured horizontal wind direction is estimated to be to be about 2°.

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“…Then the combined single field is focused onto a detector. Using the Doppler shift ∆ f obtained from the mixed signal by fast Fourier transform or other methods [28,29], the radial velocity v R is then calculated by…”

Section: Measurement Principles and Uncertaintiesmentioning

confidence: 99%

A Review of Progress and Applications of Pulsed Doppler Wind LiDARs

et al. 2019

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Doppler wind LiDAR (Light Detection And Ranging) makes use of the principle of optical Doppler shift between the reference and backscattered radiations to measure radial velocities at distances up to several kilometers above the ground. Such instruments promise some advantages, including its large scan volume, movability and provision of 3-dimensional wind measurements, as well as its relatively higher temporal and spatial resolution comparing with other measurement devices. In recent decades, Doppler LiDARs developed by scientific institutes and commercial companies have been well adopted in several real-life applications. Doppler LiDARs are installed in about a dozen airports to study aircraft-induced vortices and detect wind shears. In the wind energy industry, the Doppler LiDAR technique provides a promising alternative to in-situ techniques in wind energy assessment, turbine wake analysis and turbine control. Doppler LiDARs have also been applied in meteorological studies, such as observing boundary layers and tracking tropical cyclones. These applications demonstrate the capability of Doppler LiDARs for measuring backscatter coefficients and wind profiles. In addition, Doppler LiDAR measurements show considerable potential for validating and improving numerical models. It is expected that future development of the Doppler LiDAR technique and data processing algorithms will provide accurate measurements with high spatial and temporal resolutions under different environmental conditions.

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Performance of Discrete-Fourier-Transform-Based Velocity Estimators for a Wind-Sensing Coherent Doppler Lidar System in the Kolmogorov Turbulence Regime

Cited by 21 publications

References 28 publications

Data Processing and Analysis of Eight-Beam Wind Profile Coherent Wind Measurement Lidar

Data Processing and Analysis of Eight-Beam Wind Profile Coherent Wind Measurement Lidar

Coherent Doppler Lidar for Wind Sensing

A Review of Progress and Applications of Pulsed Doppler Wind LiDARs

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