Abstract:

The clear air turbulence and the dry windshear cannot be effectively detected by the airborne weather radar because of the low signal-to-noise ratio (SNR). A parametric spectral moment estimation method is proposed, which is based on a nonlinear leastsquares (NLS) fit of the autocorrelation sequence of the radar echoes. And the relaxation-based method is used to solve the NLS problem when the echoes are mixed up with several echoes with Gaussianshaped spectrum. Also, a fast algorithm is given, which substitutes the 2D-search with a two 1D-search. Finally, theoretical and numerical simulation results are presented to verify the performances. It is demonstrated that the presented method is effective in low SNR.