Symbol rate estimation algorithm for communication signals based on wavelet transformation
LI Yongzhuang · 2013
A new algorithm is proposed for the symbol rate estimation of communication signals based on the wavelet transform.Firstly baseband signal was extracted from the generated Binary Phase Shift Keying(BPSK)modulated signal to obtain the modulus of its wavelet transforming parameter.Secondly,the unipolar pulse sequences corresponding to the original modulated symbol rate was established,and the power spectrum of these sequences are also analyzed.At last,discrete baselines were extracted in the integer multiple points of the symbol rate of baseband signals in order to achieve the symbol rate estimation on BPSK signals.The experiments results indicated that under low SNR conditions,our proposed algorithm possessed a good estimating performance and showed a better practicality and robustness.