一种基于DWT-CWT的CPFSK信号盲符号速率估计算法

Blind Symbol Rate Estimator for CPFSK Signals Based on DWT and CWT

提出一种综合利用离散小波变换和连续小波变换来估计CPFSK信号符号速率的新算法。对离散小波变换后的细节信号进行连续小波变换,能够有效地减小噪声的影响,从而实现低信噪比下的符号速率估计。实验结果表明,与单纯使用连续小波变换的方法相比,新算法在低信噪比时具有较好的估计性能。

A novel blind symbol rate estimation algorithm for Continuous-phase Frequency-shift keying （CPFSK） signals was proposed by combining discrete wavelet transform （DWT） and continuous wavelet transform （CWT）. Instead of directly dealing with the original signal, CWT was performed for the detailed signal obtained from the DWT, which could greatly reduce the noise, and get an accurate estimation of symbol rate in low Signal-to-Noise Ratio （SNR）. Simulation results indicate that the new method can offer more excellent performance in low SNR when it is compared with the CWT-based method.