Blind timing skew estimation based on spectra sparsity and all phase FFT for time-interleaved ADCs

S. Liu, X. J. Xu, Y. Zou
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引用次数: 7

Abstract

A time-interleaved analog-to-digital converter (TIADC) is a promising solution for high speed and high resolution ADC. Blind timing skew estimation (TSE) is one of its key techniques for implementing online timing skew mismatch compensation digitally. Assuming the input signal of the TIADC is of spectral sparsity, in this paper, an efficient blind TSE algorithm is developed by employing the all phase Fast Fourier Transform (ApFFT) technique to obtain the accurate phase spectral estimation, which results in the ApFFT-SS-BLTSE algorithm. Experimental results show that, compared to the SS-BLTSE algorithm in [1], the proposed ApFFT-SS-BLTSE algorithm requires less computational cost and is able to offer high TSE accuracy for both narrow and wideband source signals in the presence of additive noise.
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基于谱稀疏度和全相位FFT的时间交错adc盲定时偏斜估计
时间交错模数转换器(TIADC)是一种很有前途的高速高分辨率模数转换器解决方案。盲时偏估计是实现在线时偏失配数字补偿的关键技术之一。假设TIADC的输入信号具有谱稀疏性,本文利用全相位快速傅立叶变换(ApFFT)技术获得精确的相位谱估计,提出了一种高效的盲TSE算法,即ApFFT- ss - bltse算法。实验结果表明,与[1]中的SS-BLTSE算法相比,本文提出的ApFFT-SS-BLTSE算法计算成本更低,并且能够在存在加性噪声的窄带和宽带源信号中提供较高的TSE精度。
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