Research on Communication Signal Symbol Rate Estimation Based on Wavelet Transform

In non-cooperative communication, symbol rate estimation is an important basis for blind estimation and blind demodulation of digital signals. The traditional symbol rate estimation methods, such as the cyclic correlation method and the envelope spectrum method, show a dramatic decline of performance in low SNR. To solve this problem, a method based on wavelet transform is studied, and the optimal range of its best wavelet function and flex factor is deduced. Theoretical analysis and simulation experiments show that the proposed algorithm has many advantages, such as low data demand, high estimation accuracy, and so on. It has good robustness and universality in low SNR environment.