Blind symbol rate estimation: a two stage algorithm

Blind symbol rate estimation is performed in three stages; coarse estimation, fine estimation and timing recovery. In this paper, a two stage algorithm is proposed to estimate the symbol rate for raised cosine pulse shaped linearly modulated single carrier signals in slightly dispersive channels. The first stage of the algorithm is based on inverse Fourier transform (IFT) followed by a polynomial fitting block. The performance of the algorithm increases with larger oversampling rates. The performance of the algorithm is considerably good for low signal-to-noise (SNR) values. The second stage of the algorithm is the fine estimation stage and cyclic correlation based algorithm is used for this purpose. The performance of the cyclic correlation based method with low excess bandwidth conditions is increased using the estimation from the first stage and the success rate of the estimation block is increased to 100% even for low excess bandwidths. The third stage of the algorithm consists of timing recovery algorithms. Since we do not have specific contributions in this area, those kind of algorithms will not be discussed in this work. The simulation results of the proposed algorithm are compared to the algorithms available in the literature.

[1]  Franz Quint,et al.  A robust baud rate estimator for noncooperative demodulation , 2000, MILCOM 2000 Proceedings. 21st Century Military Communications. Architectures and Technologies for Information Superiority (Cat. No.00CH37155).

[2]  W. Gardner.  Exploitation of spectral redundancy in cyclostationary signals , 1991, IEEE Signal Processing Magazine.

[3]  Yiu-Tong Chan,et al.  Symbol rate estimation by the wavelet transform , 1997, Proceedings of 1997 IEEE International Symposium on Circuits and Systems. Circuits and Systems in the Information Age ISCAS '97.

[4]  P. Welch.  The use of fast Fourier transform for the estimation of power spectra: A method based on time averaging over short, modified periodograms , 1967 .

[5]  William A. Gardner,et al.  Measurement of spectral correlation , 1986, IEEE Trans. Acoust. Speech Signal Process..

[6]  P. Loubaton,et al.  Cyclic correlation based symbol rate estimation , 1999, Conference Record of the Thirty-Third Asilomar Conference on Signals, Systems, and Computers (Cat. No.CH37020).

[7]  M. Flohberger,et al.  Symbol Rate Estimation with Inverse Fourier Transforms , 2006, 2006 International Workshop on Satellite and Space Communications.

[8]  Wei Su,et al.  Symbol-rate estimation based on filter bank , 2005, 2005 IEEE International Symposium on Circuits and Systems.