On Adaptive Unscented Kalman Filtering for Floating Doppler Wind-Lidar Motion Correction: Effect of the Number of Lidar Measurement Heights

Abstract

This work studies the influence of the number of lidar measurement heights on the performance of the floating Doppler wind lidar motion-correction algorithm, recently published by the authors. The work is in the context of offshore wind energy and continuous-wave focusable Zephir T M 300 lidar. A down-sampling technique applied over the lidar-measured wind speed time-series is used to simulate different height-sounding configurations. The operation of the filter under one, three, and five measurement heights of the lidar is studied by using data from El Pont del Petroli measurement campaign. The filter is proved to remove apparent turbulence addition in all three cases, showing a deterioration of statistical indicators as the number of sounding heights increase.

Enhanced Dual Filter for Floating Wind Lidar Motion Correction: The Impact of Wind and Initial Scan Phase Models

“…Therefore, filter performance (which was computed from the one-to-one correspondence between the motion-corrected measurements and the ones from the reference fixed lidar in Figure 8) is expected to degrade with an increasing number of sounding heights. See [50] for an in-depth discussion. A consequence of this poorer performance is that the enhanced filter will continue to be able to take the motion out "on average" over time but losing the fine detail of the wind time series.…”