一种改进的正弦拟合时基失真估计算法

利用采样输出估计时基失真的方法可以分为正弦拟合法和分解信号法两种。根据输入校准信号以及选择时基失真模型的不同,这两种方法各有其优缺点,且当时基失真模型不符合时,估计性能较差。提出了一种改进的正弦估计失真方法。它不需要考虑时基失真的模型,因此在时基失真类型未知或时基失真与模型不吻合时,较上述两种方法的性能更为优越。

An Improved Sine-Fitting Estimation Method for Time-Base Distortion

There are two estimation methods for time-base distortion ,i.e. the sine wave fitting method and the signal analysis method. When adopting different distorted-time-base models and different input calibrating signals,these two methods have their own advantages and disadvantages. When the selected model is not so accordant,the results may be not acceptable. To solve this problem,an improved approach for the estimation of Time-Base distortion is presented in this paper. The method here makes no hypothesis on the model of time-base distortion at all,so better results can be achieved than existing methods,especially in the environments where the distortion model is hard to build.