【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 ,有良好的谱估计分辨率及稳定性更多还原

【Abstract】 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.更多还原