Ground Clutter Removing for Wind Profiler Radar Signal Using Adaptive Wavelet Threshold

Wind profiler radar signal is subject to contamination from various non-atmospheric signal. A new wind profiler radar signal processing method based on wavelet is presented for the suppression of ground clutter using adaptive threshold. By using the discrete multi-resolution analysis, we developed the adaptive wavelet domain thresholding method, which allow us to identify the coefficients relevant for clutter and to suppress them in order to obtain the reconstructed clear-air signal. The adaptive algorithm for choosing threshold that allow the processing to adjust automatically to environmental conditions. Experiments for the real radar signal show that the method presented can suppress the ground clutter from the radar signal effectively.