基于CPS的相位误差估计算法

Phase-offset Estimation Algorithms Based on CPS

在基于星座相位特征(CPS)相位误差估计算法的基础上,对高阶QAM信号,利用循环相关函数的局部对称性,提出一种基于局部对称性检测的相位误差估计算法。此外,利用平稳信号相关函数小波变换后的性质,提出了两种基于循环相关函数小波变换的相位误差估计算法。最后详细分析了小波变换对高斯白噪声的影响。与CPS算法相比,基于对称性检测的算法在低信噪比下有一定的优势。基于Morlet小波变换的相位误差估计算法在低信噪比下性能最好,而基于Harr小波变换的相位误差估计算法在高信噪比下性能较好。

Based on the Constellation Phase Signature phase-offset estimation algorithm,the symmetry detection algorithm was proposed making using of the local symmetric of the cyclic cross correlation function.Besides,another two algorithms for estimation phase-offset was proposed through the properties of the wavelet transform of wide-sense stationarity signals.Finally,the influence of the wavelet transform to the Gauss white noise was investigated.With the condition of low SNR,the first propose algorithm has better performance compared with the CPS algorithm.The Morlet wavelet transform algorithm has the best performance with the condition of low SNR while the Harr wavelet transform algorithm has the best performance with the condition of high SNR.