Wind retrieval for genetic algorithm-based coherent Doppler wind lidar employing airborne platform

Zhao, Yuan; Yuan, Lucheng; Fan, Chunhai; Zhu, Xing; Liu, Jiqiao; Dai, Bo; Xiao, Weigang; Zhu, Xiaolei; Chen, Weibiao

doi:10.1007/s00340-023-07984-2

Cited by 4 publications

(4 citation statements)

References 20 publications

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“…In (4), N is the accumulated number, LRG is the length of the range gate, and the Tp is the pulse width. We simulate the RSN,C to evaluate the parameters and detection performance of MDWL.…”

Section: Theoretical Analysismentioning

confidence: 99%

See 1 more Smart Citation

All-fiber mobile Doppler wind lidar for combined measurement of the wind field and precise distance to hard targets

Zhang,

Sang,

Lin

et al. 2024

2024 International Conference on Optoelectronic Information and Optical Engineering (OIOE 2024)

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The development of all-fiber Doppler wind lidar has garnered significant interest in mobile wind detection due to its compact design and reliability. We have developed a mobile Doppler wind lidar (MDWL) suitable for individual equipment applications. Based on the theoretical model of the signal-to-noise ratio (SNR) function, we determine the system parameters to strike a balance between detection capability and compactness, specifically tailored for portable lidar instruments. The detection range of more than 2km is achieved with a pulse energy of 20μJ and a pulse width of 400ns. We integrated two wind field inversion methods—VAD scanning detection and forward horizontal detection— into a proposed intelligent operation algorithm. Through time-frequency analysis, we successfully measured the precise distance to hard targets and obtained wind field results with a single lidar, highlighting the potential for multifaceted information detection. The experiments in urban areas further validate the effectiveness of wind detection methods.

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Section: Theoretical Analysismentioning

confidence: 99%

“…The lidar has dimensions of 552mm×552mm×515mm and a weight of 44kg. In 2023, an airborne wind lidar was reported for wind field inversion at altitudes of 4 km [4]. The size of the lidar was 450mm×400mm×400mm, with a weight of 50kg.…”

Section: Introductionmentioning

confidence: 99%

All-fiber mobile Doppler wind lidar for combined measurement of the wind field and precise distance to hard targets

Zhang,

Sang,

Lin

et al. 2024

2024 International Conference on Optoelectronic Information and Optical Engineering (OIOE 2024)

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“…The accuracy of conventional methods such as the least squares method [21] and the sine wave fitting method [22] typically relies on the precision of Lineof-Sight (LOS) wind speed measurements. Novel methods, such as the maximum of the function of accumulated spectra (MFAS) method [23], the genetic algorithm-based spectrum estimation method [24], and the variational mode decomposition (VMD) method [25], offer robust noise resistance but demand substantial computational time, rarely achieving real-time processing. However, this limitation can lead to significant areas of invalid or unmeasured wind detection in high-speed airborne applications.…”

Section: Introductionmentioning

confidence: 99%

Evaluation and Wind Field Detection of Airborne Doppler Wind Lidar with Automatic Intelligent Processing in North China

Zhang,

Lin,

Gao

et al. 2024

Atmosphere

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Airborne wind measurement is of great significance for understanding atmospheric motion and meteorological monitoring. In this paper, we present the development and verification of an airborne Doppler wind lidar (ADWL), featuring an approach proposed to integrate a real-time wind retrieval method with an intelligent processing method for automatic adaptive wind detection. Several verification experiments were conducted to evaluate the measurement effectiveness, including comparisons with a calibrated ground-based Doppler wind lidar (GDWL) and a sounding balloon. Compared with the sounding balloon, the ADWL demonstrated mean errors of 0.53 m/s for horizontal wind velocity and 4.60° for wind direction. The correlation coefficients consistently exceeded 0.98 in all linear analyses. Employed in multiple airborne wind detection events in North China at altitudes up to 6600 m, the ADWL provided effective wind field results with a vertical resolution of 50 m and a data rate of 2 Hz. The wind field results obtained during the detection events validate the ADWL’s capabilities in diverse environments and underscore its potential for the comprehensive detection of meteorological information.

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“…Coherent Doppler wind lidar has been developed as a mature technology for the remote sensing of atmospheric wind fields, which is of significant importance in atmospheric research, environmental monitoring, aerospace, etc. [1][2][3][4][5][6][7][8]. The coherent detection method involves mixing the received photons with the local oscillator laser and analyzing the resulting beat frequency signal [9].…”

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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Wind retrieval for genetic algorithm-based coherent Doppler wind lidar employing airborne platform

Cited by 4 publications

References 20 publications

All-fiber mobile Doppler wind lidar for combined measurement of the wind field and precise distance to hard targets

All-fiber mobile Doppler wind lidar for combined measurement of the wind field and precise distance to hard targets

Evaluation and Wind Field Detection of Airborne Doppler Wind Lidar with Automatic Intelligent Processing in North China

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

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