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Liang N, Yu X, Lin P, Chang S, Zhang H, Su C, Luo F, Tong S. Pulse Accumulation Approach Based on Signal Phase Estimation for Doppler Wind Lidar. Sensors (Basel) 2024; 24:2062. [PMID: 38610272 PMCID: PMC11014370 DOI: 10.3390/s24072062] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/17/2024] [Revised: 03/17/2024] [Accepted: 03/18/2024] [Indexed: 04/14/2024]
Abstract
Coherent Doppler wind lidar (CDWL) uses transmitted laser pulses to measure wind velocity distribution. However, the echo signal of CDWL is easily affected by atmospheric turbulence, which can decrease the signal-to-noise ratio (SNR) of lidar. To improve the SNR, this paper proposes a pulse accumulation method based on the cross-correlation function to estimate the phase of the signal. Compared with incoherent pulse accumulation, the proposed method significantly enhances the correlation between signals from different periods to obtain high SNR gains that arise from pulse accumulation. Using simulation, the study evaluates the effectiveness of this phase estimation method and its robustness against noise in algorithms which analyze Doppler frequency shifts. Furthermore, a CDWL is developed for measuring the speed of an indoor motor turntable and the outdoor atmospheric wind field. The phase estimation method yielded SNR gains of 28.18 dB and 32.03 dB for accumulation numbers of 500 and 1500, respectively. The implementation of this method in motor turntable speed measurements demonstrated a significant reduction in speed error-averaging 9.18% lower than that of incoherent accumulation lidar systems. In experiments that measure atmospheric wind fields, the linear fit curve slope between the measured wind speed and the wind speed measured via a commercial wind-measuring lidar can be reduced from 1.146 to 1.093.
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Affiliation(s)
- Naiyuan Liang
- College of Opto-Electronic Engineering, Changchun University of Science and Technology, Changchun 130022, China (F.L.)
| | - Xiaonan Yu
- College of Opto-Electronic Engineering, Changchun University of Science and Technology, Changchun 130022, China (F.L.)
- National and Local Joint Engineering Research Center of Space Optoelectronics Technology, Changchun University of Science and Technology, Changchun 130022, China
| | - Peng Lin
- College of Opto-Electronic Engineering, Changchun University of Science and Technology, Changchun 130022, China (F.L.)
- National and Local Joint Engineering Research Center of Space Optoelectronics Technology, Changchun University of Science and Technology, Changchun 130022, China
| | - Shuai Chang
- College of Opto-Electronic Engineering, Changchun University of Science and Technology, Changchun 130022, China (F.L.)
- National and Local Joint Engineering Research Center of Space Optoelectronics Technology, Changchun University of Science and Technology, Changchun 130022, China
| | - Huijun Zhang
- College of Opto-Electronic Engineering, Changchun University of Science and Technology, Changchun 130022, China (F.L.)
| | - Chen Su
- College of Opto-Electronic Engineering, Changchun University of Science and Technology, Changchun 130022, China (F.L.)
| | - Fengchen Luo
- College of Opto-Electronic Engineering, Changchun University of Science and Technology, Changchun 130022, China (F.L.)
| | - Shoufeng Tong
- College of Opto-Electronic Engineering, Changchun University of Science and Technology, Changchun 130022, China (F.L.)
- National and Local Joint Engineering Research Center of Space Optoelectronics Technology, Changchun University of Science and Technology, Changchun 130022, China
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