Processing of stochastically sampled data from Laser Doppler Anemometry: review and new developments

As a non-intrusive technique with high spatial and temporal resolution lase r Doppler anemometry is widely used in the study of turbulent flow fields. The computation of statistical functions of the measured velocity time seri es presents problems since, by nature of the technique, the data is stochas tically sampled in time. After a brief review of the LDA measurement princi ples the essential properties of LDA data sets will be explained and a revi ew of the methods to handle the special sampling features of the data will be given. Recent developments will be presented for the estimation of turbu lence spectra.