Estimation of Sea Clutter Spectral Width using Wavelet Transform
Sea clutter is the reflected signal in the reverse direction from the surface of the sea. Radar Signal Processing has the power to model the Doppler spectral characteristics of clutter to realize effective detection and tracking of targets on the surface of the sea. The major disadvantage by Short Time Fourier Transform (STFT) is poor spectral resolution. The wavelet transform provides multi resolution properties over the STFT. In this paper a technique is presented for de-noising the sea clutter signal using wavelet transform. And presented a high spectral resolution technique to model the Doppler shift frequency characteristics of sea clutter, estimating the Clutter to Noise Ratio(CNR), shape parameter of clutter, clutter intensity at each Doppler bin, clutter spectral width, noise band width and noise component for real time sea clutter data of Range cell 1. It is shown that the intensity of sea clutter is confined effectively to the middle part of the Doppler spectrum.