摘要
Kay算法能够估计出采样点较少的正弦波频率,但低信噪比下估计性能不佳。针对此问题,提出了修正Kay算法。首先基于最大似然估计准则,推导了观测信号模值与相位的条件概率密度函数,进而重建了Kay算法的相位差噪声矢量协方差矩阵与权值矩阵。实验结果表明,修正算法能够有效估计正弦波信号频率,与Kay算法相比,抗噪性更强。
The Kay algorithm can estimate the frequency of sinusoidal signal with few sampling points,but i t has poor performance in low signal-to-noise ratio （SNR）. A modified Kay algorithm is proposed to solve the frequency estimation in low SNR. Firstly,the conditional probability density function （ CPDF） of signal modulus to signal phase is derived under the maximum likelihood criterion. And then,the covariance ma-trix of phase difference noise and the modified weighting matrix are reconstructed. Simulation results show that the proposed method can effectively estimate the frequency of sinusoidal signal which has less sampling points,and outperforms Kay method in low SNR.
出处
《电讯技术》
北大核心
2017年第5期518-522,共5页
Telecommunication Engineering
关键词
电子侦察
正弦波
频率估计
低信噪比
electronic reconnaissance
sinusoidal signal
frequency estimation
low SNR
