摘要
针对MPSK信号载波频率估计所需信噪比高的问题,提出一种低信噪比下MPSK信号频率估计方法.首先使用现代谱估计方法建立自回归模型,完成MPSK信号载波频率的粗估计,得到含有较小残留频偏的信号;然后进行M-th非线性变换,根据最大似然准则,估计出较高精度的残留频偏值.仿真结果表明,本算法在较低信噪比下可达到较高精度,算法稳定可靠.
A novel frequency estimation method of MPSK signals in the low SNR condition is proposed, which solves the problem of requiring a high signal-w-noise ratio. First, the AR models are created by using the modern spectrum estimation method, and the small residual frequency offset signal is obtained through rough carrier frequency estimation values of the MPSK signal. Then after the M-th nonlinear transformation, the higher accuracy of the residual frequency offset value is estimated based on the maximum likelihood criterion. Simulation results show that the algorithm can lead to a higher accuracy under the Iow-SNR condition and that it is stable and reliable.
出处
《西安电子科技大学学报》
EI
CAS
CSCD
北大核心
2011年第5期90-94,共5页
Journal of Xidian University
基金
西安电子科技大学基本科研业务费资助项目(K50510020035
K50511020030)
国家部委预研基金资助项目(9140A07020806DZ01)
关键词
MPSK信号
频率估计
低信噪比
M-th非线性变换
最大似然准则
MPSK signals
frequency estimation
low signal to noise ratio
M-th nonlinear transformation
maximum-likelihood criterion
