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Low cost high-speed test data acquisition: Accurate period estimation driven signal reconstruction using incoherent subsampling

机译:低成本高速测试数据采集:使用非相干二次采样的精确周期估计驱动信号重建

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In this paper, we propose a new algorithm to estimate the fundamental period (frequency) of a highspeed pseudo random bit sequence (PRBS) or multitone signal using incoherent subsampling. While incoherent subsampling suffers from spectral leakage due to the mismatch between the input test signal and the discrete Fourier transform (DFT) basis, the proposed algorithm efficiently resolves the spectral leakage problem using a back-end signal process. The approach requires incoherent digitization of the periodic sequence using at least two clocks running at different speeds. No additional hardware to synchronize the input signal frequency with the sampling clock frequency is needed. A new discrete frequency shifting approach for determining the period of the input signal is proposed that is computationally efficient. The signal reconstruction approach has been tested with experimental results.
机译:在本文中,我们提出了一种新算法,该算法使用非相干子采样来估计高速伪随机比特序列(PRBS)或多音信号的基本周期(频率)。尽管由于输入测试信号和离散傅立叶变换(DFT)基础之间的不匹配,非相干子采样会遭受频谱泄漏,但该算法使用后端信号处理有效地解决了频谱泄漏问题。该方法要求使用至少两个以不同速度运行的时钟对周期序列进行非相干数字化。无需其他硬件即可将输入信号频率与采样时钟频率同步。提出了一种新的用于确定输入信号周期的离散频移方法,该方法计算效率高。信号重建方法已通过实验结果进行了测试。

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