Estimation of the signal-to-noise ratio from raw data measured by a pulsed coherent Doppler lidar under conditions of non-stationary noise
I.N. Smalikho, V.A. Banakh, A.M. Sherstobitov
V.E. Zuev Institute of Atmospheric Optics of Siberian Branch of the Russian Academy of Science, Tomsk, Russia
Keywords: coherent Doppler lidar, signal-to-noise ratio non-stationary noise, radial velocity
Abstract
The key factor determining the accuracy of pulsed coherent Doppler lidar (PCDL) wind speed measurements is the signal-to-noise ratio (SNR). Therefore, SNR information is important for interpreting measurement results. However, the known approaches to determining SNR from raw data measured by PCDL are not applicable in the case of a PCDL lidar created at the Wave Propagation Laboratory of Institute of Atmospheric Optics, Siberian Branch, Russian Academy of Sciences, (WPL PCDL lidar) due to significant non-stationarity of the noise component of recorded signals. In this work, a new technique for determining the signal-to-noise ratio from raw data measured by a pulsed Doppler lidar (PCDL) accounting the non-stationarity of noise is developed. The technique was tested in an experiment with a Stream Line PCDL and the WPL PCDL lidar. By comparing SNR estimates from joint measurements by these lidars, the practical applicability of the suggested technique is confirmed.
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