摘要
从理论上论述了相关高斯噪声和非相关噪声背景下正弦参数的估计方法。该方法采用互高阶谱的特征分解 (SVD)及最小二乘法 (TLS) ,并且建立了信号矢量空间和噪声空间 ,几乎不需要任何关于有色噪声的先验信息 ,就可以估计出正弦信号的幅值、频率和相位。该方法信噪比工作门限低 。
An estimation method of sinusoidal parameters under coherent Gaussian noise and incoherent noise is theoretically put forward. In this method the singular value decomposition (SVD) is applied and the signal vector space and noise space are established, therefore, the amplitude, frequency and phase of sinusoidal signal can be estimated without almost any prior information about colored noise. The method has low signal to noise ratio of working threshold, good resolution and stability of spectral estimation.
出处
《电网技术》
EI
CSCD
北大核心
2000年第11期60-64,共5页
Power System Technology
基金
国家自然科学基金资助项目! ( 69872 0 12 )
关键词
电力系统
混合噪声
正弦参数估计
SVD法
SVD-TLS
hybrid colored noise
cross high spectrum
cross high cumulant
singular value decomposition (SVD)
