摘要
小波变换是一种在强噪声背景下进行信号时频分析的有效方法.使用Haar小波变换对多载波多进制相移键控(MC-MPSK)信号中心频率进行了估计,给出了计算机仿真的结果,并将这种算法的估算结果与改进的克拉美-罗限(MCRB)进行了比较.结果表明,在没有先验知识的情况下,利用Haar小波变换方法可以精确地估计MC-MPSK信号中心频率,而且得到的估计性能受相位噪声的影响不大.
Methods of wavelet transform are effective methods of time-frequency analysis under the background of strong noise. A method to estimate the frequency of multi-carrier m-ary phase-shift keying (MC-PSK) signals is showed, it uses Haar's wavelet transform. Simulation is used. The algorithm is compared to modified carmer-rao bound(MCRB), it shows that the methods of wavelet transform can accurately estimate the carrier frequency of MC-PSK signals without prior knowledge. The estimation performance is effected by phase noise very slightly.
出处
《北京邮电大学学报》
EI
CAS
CSCD
北大核心
2008年第3期133-136,共4页
Journal of Beijing University of Posts and Telecommunications
关键词
多载波多进制相移键控信号
载频估计
小波变换
相位噪声
multi-carrier m-ary phase-shift keying signals
frequency estimation
wavelet transform
phase noise