Field Performance of All-Fiber Pulsed Coherent Doppler Lidar

Liu, Heng; Zhu, Xinhua; Fan, Chunhai; Bi, Decang; Liu, Jiqiao; Zhang, Xin; Zhu, Xiaolei; Chen, Weibiao

doi:10.1051/epjconf/202023708009

Cited by 4 publications

(5 citation statements)

References 4 publications

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“…To test the method, the sample R i h j of measurement results, comprising 11,400 elements, was compiled for each iteration step to solve the system in Equation (20). Figure 11 shows the plot of the estimates s k , depending on the iteration number.…”

Section: Criterion Selection In the Lsimmentioning

confidence: 99%

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Fiber Lidar for Control of the Ecological State of the Atmosphere

Volkov,

Zaitsev,

Park

et al. 2024

Atmosphere

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Methods and means of remote control of the ecological state of the atmosphere are constantly improving. Lidar sensing allows obtaining up-to-date information about natural and technogenic sources of atmospheric pollution. There is a wide range of problems in ecological control, where the deployment of an inexpensive mobile lidar network is required. For this purpose, it is suggested to use Q-switch and MOPA fiber lasers in lidars. Q-switch fiber lasers have a simpler design and are more practical to use. However, pulses from Q-switch lasers have long full-pulse durations. In the present work, a lidar signal inversion method (LSIM) is proposed for solving this problem. Verification and outdoor experimentation of the LSIM was carried out with the reference signal method (RSM). The advantage of the proposed RSM is the minimum number of controllable parameters necessary for LSIM verification and approbation. As a result, the accuracy of the obtained results increased. Thus, the possibility of application of the Q-switch fiber lasers for lidar sensing is shown both theoretically and experimentally.

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Section: Criterion Selection In the Lsimmentioning

confidence: 99%

“…Fiber lasers are produced by a number of companies, are structurally simple, and possess increased operational stability and reliability [17][18][19][20][21][22]. The beam divergence of these lasers is close to that of Gaussian beams.…”

Section: Introductionmentioning

confidence: 99%

Fiber Lidar for Control of the Ecological State of the Atmosphere

Volkov,

Zaitsev,

Park

et al. 2024

Atmosphere

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show abstract

“…For instance, strong winds, precipitation, cloud cover, and complex terrain can all result in incomplete and inaccurate observational data. Additionally, the detection of wind fields requires the use of multiple measurement devices and techniques; however, different equipment and methods have limitations in terms of measurement range, resolution, accuracy, and reliability [6][7][8][9][10]. In summary, the characterization of wind fields is a complex task due to these factors.…”

Section: Introductionmentioning

confidence: 99%

Performance Evaluation and Error Tracing of Rotary Rayleigh Doppler Wind LiDAR

Chen,

Xie,

et al. 2024

Photonics

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In the study of atmospheric wind fields from the upper troposphere to the stratosphere (10 km to 50 km), direct detection wind LiDAR is considered a promising method that offers high-precision atmospheric wind field data. In 2020, Xie et al. of the Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, developed an innovative rotating Rayleigh Doppler wind LiDAR (RRDWL). The system aims to achieve single-LiDAR detection of atmospheric wind fields by rotating the entire device cabin. In 2022, the feasibility of the system was successfully validated in laboratory conditions, and field deployment was completed. Due to the structural differences between this system and traditional direct-detection wind LiDAR, performance tests were conducted to evaluate its continuous detection capability in outdoor environments. Subsequently, based on the test results and error analysis, further analysis was carried out to identify the main factors affecting the system’s detection performance. Finally, the error analysis and traceability of the detection results were conducted, and corresponding measures were discussed to provide a theoretical foundation for optimizing the performance of RRDWL.

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“…Later, a coherent Doppler lidar based on heterodyne detection gained increasing attention in the monitoring of boundary layer wind fields due to its significant technical advantages in working range, accuracy, spatial and temporal resolution, and volume and power consumption [11][12][13]. With advancements in laser technology and related devices, all-fiber coherent Doppler wind lidar operating at 1.5 µm, within the eye safe wavelength range, has attracted many research interests [14][15][16][17][18][19][20][21].…”

Section: Introductionmentioning

confidence: 99%

Real-Time Synchronous Acquisition and Processing of Signal in Coherent Doppler Wind Lidar Using FPGA

Liu,

Zhu,

Jin

et al. 2023

Remote Sensing

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Coherent Doppler wind lidar has become a primary remote sensing technique for measuring atmospheric wind fields in recent years. However, the high bandwidth of the time domain echo signal has limited real-time data acquisition and processing. In this work, we propose a real-time data acquisition and preprocessing integrated solution. This approach is implemented using on-chip system field programmable gate array (FPGA) hardware while utilizing a 7-channel base-4 polyphase fast Fourier transform calculation module and a pipelined structure operation. Within a 1 s data collection time, the real-time rapid acquisition and spectral preprocessing of lidar echo signals at a range of 9.9 km can be achieved. We compare the observation data with the measurement data from Windcube100s and radiosondes, and the results indicate that the coherent wind lidar developed in this paper can detect heights above 4.0 km, with effective data acquisition rates of 82% and 61% in the height ranges of 1500–2000 m and 2000–2500 m, respectively. At the height range of 3.5 km, the correlations for horizontal wind speed and direction measured by the lidar were all above 0.99, with the wind speed and direction measurement deviations being better than 0.56 m/s and 8.40∘, respectively.

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Field Performance of All-Fiber Pulsed Coherent Doppler Lidar

Cited by 4 publications

References 4 publications

Fiber Lidar for Control of the Ecological State of the Atmosphere

Fiber Lidar for Control of the Ecological State of the Atmosphere

Performance Evaluation and Error Tracing of Rotary Rayleigh Doppler Wind LiDAR

Real-Time Synchronous Acquisition and Processing of Signal in Coherent Doppler Wind Lidar Using FPGA

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