Symbol Rate Estimation Using Cyclic Correlation and Haar Wavelet Transform

To investigate the blind symbol rate estimation of any linear base-band digital modulation scheme with square root raised cosine filter, an algorithm based on cyclic correlation and Haar wavelet transform estimator is proposed. First we use FFT to estimate the bandwidth roughly. Then we set the sampling frequency and range scale of wavelet transform according to bandwidth. Using the signals filtered by wavelet transform, the weighted estimator [5] accuracy of the symbol rate is greatly improved under poor channel environment and little roll-off condition. Computer simulations show the proposed estimator work well under multi-path channel and Gaussian noise channel with SNR equals -5 dB, roll-off equals 0.1.