利用高阶倒频谱和群延迟对有色或确定性信号进行非迭代盲反卷积

D.H. Brooks, A. Petropulu
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引用次数: 2

摘要

作者考虑一个未知的确定性或非高斯非白随机信号通过两个不同的未知LTI混合相位FIR系统传输,只有系统输出的噪声观测。目标是识别系统和/或反卷积输入,在一个幅度因子和时间延迟内。系统必须在单位圆上不存在零,并且满足零位相互位置的其他温和条件。以前的方法是迭代的,或者假设输入是随机的和白色的,或者在某种意义上与信道脉冲响应分离得很好。一种新的非迭代解是基于对两个“差分”系统对应的倒频谱(通过高阶谱计算)的观察,这两个“差分”系统由于第一个系统的最小相位部分(或反射的最大相位部分)具有零,而由于第二个系统具有极点,因此可以获得。通过群延迟分离,将“差分”倒频分解为极和零部分,从而重构系统和/或信号。
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Non-iterative blind deconvolution of colored or deterministic signals using higher order cepstra and group delay
The authors consider an unknown deterministic or nonGaussian nonwhite stochastic signal transmitted through two different unknown LTI mixed phase FIR systems with only noisy observations of the system outputs. The goal is to identify the systems and/or deconvolve the input, to within a magnitude factor and a time delay. The systems must have no zeros on the unit circle and satisfy other mild conditions on the mutual location of their zeros. Previous approaches have been iterative or assumed the input to be stochastic and white or well-separated from the channel impulse response in some sense. A new non-iterative solution is based on the observation that cepstra (calculated via higher order spectra) corresponding to two 'difference' systems which have zeros due to the minimum (or reflected maximum) phase part of the first system and poles due to the second system can be obtained. Via the group delay separated the 'difference' cepstra are into pole and zero parts and thereby the systems and/or signal are reconstructed.<>
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