摘要
针对实际信号码元速率估计中噪声对估计精度的影响和小波方法最优尺度的选择问题,提出了一种基于谱熵分析和多尺度小波变换的码元速率估计方法。通过谱熵检测有效滤除带内噪声,并采用并行多尺度小波分析和精度函数分析提取最优小波尺度。实验结果表明,该方法的估计性能优于传统小波分析方法,并且在低信噪比情况下具有更好的估计鲁棒性。
Because the noise and optimal wavelet scale choice have influence the precision of symbol rate esti- mation, a method of symbol rate estimation based on spectrum entropy and multi-scale wavelet transform is pro- posed, the spectrum entropy method is used for filtering in-band noise, and multi-scale wavelet transform is used for parallel wavelet scale estimation and optimal symbol rate calculation based on precision function analysis. Ex- periment shows that the method has higher estimation performance compared with traditional wavelet analysis meth- od, and has better robustness in low SNR condition.
出处
《科学技术与工程》
北大核心
2014年第17期68-73,共6页
Science Technology and Engineering
基金
河南省教育厅科学技术研究重点项目(12B520048)资助
关键词
谱熵
小波变换
码元速率
小波尺度
spectrum entropy
wavelet transform
symbol rate
wavelet scale
