Blind Symbol Rate Estimation by Exploiting Cyclostationary Features in Wavelet Domain

In multi-standard wireless communication receivers, an estimation of the symbol rate is critical to blindly demodulate received signal. Symbol rate estimation at high signal-to-noise (SNR) ratio has been studied extensively in the literature and many computationally efficient methods have been proposed. However, symbol rate estimation at low SNR environment is still a challenging task. In this paper, a new method for accurately estimating the symbol rate of any received signal has been proposed. To the best of our knowledge, proposed method is the first which exploits cyclostationary features of received signal in wavelet domain. Simulation results validate the superiority of the proposed method over others especially at low SNR values. At the end, detailed complexity analysis based on total number of gate counts is presented.