Wind field on-line extraction based on small -window sliding Fourier transform

Abstract

In order to solving the problem in sampling period selection and frequency diversity reservation during real-time wind field estimation, a method of variable-frequency wind field information extraction is put forward based on small-window sliding Fourier transform. Firstly, a discrete wind information extraction method is proposed and used in the estimation. Secondly, for purpose of reducing the processing delay caused by stats accumulation, the small-window technology is established with the aid of the wind field frequency characteristic. Finally, by means of sliding Fourier transform, the frequency response in each sampling point is obtained by area comparison algorithm of spectrum function, and then the wind field information is partitioned extracted in the case of threshold sliding changed. Simulation results show that the estimation is available for tracking the wind field real-timely and accurately, and the main frequency component of the wind field is furthest retained and highlighted.