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Atmosphere 2016, 7(12), 165; doi:10.3390/atmos7120165

Applications of Cell-Ratio Constant False-Alarm Rate Method in Coherent Doppler Wind Lidar

1
Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Key Laboratory of Meteorological Disaster of Ministry of Education, Nanjing University of Information Science and Technology, Nanjing 210044, China
2
Guangxi Colleges and Universities Key Laboratory of Optoelectronic Information Processing, Guilin University of Electronic Technology, Guilin 541000, China
*
Author to whom correspondence should be addressed.
Academic Editor: Robert W. Talbot
Received: 8 October 2016 / Revised: 28 November 2016 / Accepted: 13 December 2016 / Published: 17 December 2016
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Abstract

A cell-ratio constant false-alarm rate (CR-CFAR) method for detecting the Doppler frequency shift is proposed to improve the accuracy of velocity measured by coherent Doppler wind lidar (CWL) in low signal-to-noise ratio (SNR) environments. The method analyzes the spectrum to solve issues of weak signal submergence in noise encountered in the widely used periodogram method. This characteristic is that the signal region slope is larger than the noise region slope in the frequency spectrum. We combined the ratio and CFAR to propose the CR-CFAR method. The peak area is discriminated from the spectrum using this method. By removing background noise, the peak signal is obtained along with the Doppler shift. To verify the CR-CFAR method, a campaign experiment using both CWL and a commercial Doppler lidar was performed in Hami, China (42°32′ N, 94°03′ E) during 1–7 June 2016. The results showed that the proposed method significantly improved the reliability of CWL data under low SNR conditions. The height—at which both horizontal wind speed correlativity and horizontal wind direction correlativity exceeded 0.99—increased by 65 m. The relative deviation of the horizontal wind speed at 120 m decreased from 40.37% to 11.04%. We used the CR-CFAR method to analyze continuous data. A greater number of wind field characteristics were obtained during observation compared to those obtained using the common wind field inversion method. View Full-Text
Keywords: coherent Doppler wind lidar; signal-to-noise ratio (SNR); cell-ratio constant false alarm rate (CR-CFAR) coherent Doppler wind lidar; signal-to-noise ratio (SNR); cell-ratio constant false alarm rate (CR-CFAR)
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Zhu, H.; Bu, L.; Gao, H.; Huang, X.; Zhang, W. Applications of Cell-Ratio Constant False-Alarm Rate Method in Coherent Doppler Wind Lidar. Atmosphere 2016, 7, 165.

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