Abstract
As the raised cosine shaping filter is often employed in practical satellite communication system, the envelope fluctuation at the symbol transition point is decreased which leads to the failure of the common wavelet algorithm under low SNR. Accordingly, a method of blind symbol rate estimation using signal preprocessing and Haar wavelet is proposed in this paper. Firstly, the effect of filter shaping can be reduced by the signal preprocessing. Then, the optimal scale factor is searched and the signal is processed and analyzed by the Haar wavelet transform. Finally, the symbol rate line is extracted and a nonlinear filter method is inducted for improving the estimation performance. Theoretical analysis and computer simulation show the efficiency of the proposed algorithm under low SNR and small roll-off factor.
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