摘要
该文提出了一种强噪声背景下微弱正弦信号频率、幅值与相位三个参数的估计算法.根据离散小波变换,对强噪声背景下采样序列进行预处理,构造N+2个新的序列.对该序列实施离散傅里叶变换,结合序列的构造方式得到了正弦信号频率,相位和幅值的估计算法.仿真实验表明,在不同类型的噪声背景下,该算法具有较高的估计精度与较强的鲁棒性.
The paper proposes an estimated algorithm of three parameters which includes weak sinusoidal signal frequency, amplitude and phase under strong background noise.It preprocesses the sampled sequence under strong background noise depending on the wavelet transform, and constructs N ＋ 2 new sequence. Get the estimated algorithm of weak sinusoidal signal frequency, amplitude and phase by making discrete Fourier transform to the new sequence, and combining with the way of construction. The simulation results show that this algorithm has high accuracy of estimation and strong robustness under different kinds of strong background noise.
出处
《数值计算与计算机应用》
CSCD
2012年第3期221-229,共9页
Journal on Numerical Methods and Computer Applications
基金
国家自然科学基金(10771043)
中央高校基本科研业务费专项资金(HEUCF20111116)
关键词
正弦信号
小波变换
傅里叶变换
参数估计
Sinusoidal signal
Wavelet transform
Fourier transform
Parameter estimation
