A new method for detecting and simulating turbulence signals of airborne weather radar

In order to accurately detect the turbulence signals of an airborne weather radar, we use the Welch method to process its turbulence signals. We establish the wind field simulation model and define the turbulence scale and turbulence intensity. Then we use the wind field simulation model to establish the turbulence echo signal model and then use the Welch method to estimate the velocity spectrum and spectral width of turbulence signals. Finally we use a certain threshold to determine that the airborne target, whose spectral width exceeds the threshold, is a turbulence target and display its full-screen scan results. The simulation results, given in Figs. 3 through 10, and their analysis show preliminarily that: (1) our new method can accurately estimate the distribution of wind speed in the turbulence echo signals; (2) our new method preserves more spectral characteristics and has better spectral resolution than the conventional fast Fourier transform, thus meeting the requirements for detecting turbulence targets of an airborne weather radar.