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通过对MPSK信号的小波域特征进行分析,研究了小波变换结合FFT估计MPSK信号的符号率的算法,比较了利用一次小波和二次小波变换估计信号符号率的性能。仿真结果表明,在相同情况下,利用MPSK信号的二次小波变换进行符号率估计比利用一次小波变换进行符号率估计的性能更为优越。在信噪比不小于5dB的情况下,利用信号的二次小波变换提取信号符号率的准确率能够达到98%以上。
By analyzing the characteristics of wavelet domain of MPSK signal, the algorithm of estimating the symbol rate of MPSK signal by wavelet transform and FFT is studied. The performance of signal symbol rate estimation by using primary wavelet transform and quadratic wavelet transform is compared. The simulation results show that the symbol rate estimation using the MPSK quadratic wavelet transform is superior to the symbol rate estimation using the first-order wavelet transform under the same conditions. In the case of signal-to-noise ratio of not less than 5dB, the accuracy of signal symbol rate extraction using quadratic wavelet transform can reach more than 98%.