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

An enhanced filter for floating Doppler wind lidar motion correction is presented. The relies on an unscented Kalman prototype floating-lidar without access to the internal line-of-sight measurements of lidar. In present work, we implement a new architecture based two cooperative estimation filters and study impact different initial scan phase models performance in coastal environment Barcelona. Two model combinations are considered: (i) basic random walk both turbulence (ii) auto-regressive along with uniform circular phase. motion-correction using each above was evaluated reference fixed scenarios (low- high-frequency cases) recorded during 25-day campaign at “Pont del Petroli”, Barcelona, by clustered statistical analysis. permitted overcome divergence all scenarios. indicators comparing instruments showed overall improvement. mean deviation increased from 1.62% (without correction) ?0.07% (with correction), while root-mean-square error decreased 1.87% 0.58%, determination coefficient (R2) improved 0.90 0.96.