Research on Multi-pulse Splicing Algorithm for Coherent Wind Lidar

Abstract

In the field of pulsed coherent wind data processing, it is an ongoing challenge to effectively balance the accuracy of wind speed resolution while ensuring the accuracy of range resolution. In traditional methods, to maintain a high range resolution, it is often necessary to limit the number of data points in the range gate, which inevitably leads to a reduction in the Fourier transform spectral resolution and, in extreme cases, the loss or omission of key characteristic signals. In response, zero-padding or interpolation methods are usually used for processing, but since these methods do not really increase the amount of information in the data, their effects are not significant. To break through this limitation, a multi-pulse coherent splicing algorithm is proposed, which coherently splices multiple groups of adjacent pulse signals, thus maintaining both a high range resolution and a wind speed resolution. Numerical simulations and actual experiments are used for verification, and the results show that the performance of this algorithm is better than that of the traditional incoherent accumulation algorithm and can effectively serve the actual detection of the wind field.