在存在噪声的情况下,采用非均匀周期采样的低成本高速伪随机比特序列表征

Thomas Moon, Nicholas Tzou, Xian Wang, H. Choi, A. Chatterjee
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引用次数: 7

摘要

在本文中,我们提出了一种宽带信号重建方案,用于在存在抖动噪声的情况下使用非相干采样测试高速伪随机比特序列(PRBSs)。该方法利用同步多速率采样(SMRS)硬件和多集后端信号处理算法。SMRS硬件由多个模数转换器(adc)组成,其采样频率与公共参考频率同步,并且可以单独配置。根据输入信号信息和采样硬件规格选择各个ADC的最佳采样频率。与用于多共集信号重建的其他采样硬件相比,所提出的方法使用的adc数量较少,并且不需要精确的采样时钟相位调整。在数字信号重构中,通过多共集信号处理算法重构输入波形,测量PRBS测试信号各音调的相位噪声。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Low-cost high-speed pseudo-random bit sequence characterization using nonuniform periodic sampling in the presence of noise
In this paper, we propose a wideband signal reconstruction scheme for testing high-speed pseudo random bit sequences (PRBSs) in the presence of jitter noise using incoherent sampling. The proposed approach exploits synchronous multirate sampling (SMRS) hardware and multicoset back-end signal processing algorithms. The SMRS hardware consists of multiple analog-to-digital converters (ADCs) whose sampling frequencies are synchronized with a common frequency reference and can be individually configured. The optimal sampling frequency of each ADC is chosen based on the input signal information and sampling hardware specifications. As compared to other sampling hardware used for multicoset signal reconstruction, the proposed approach uses less number of ADCs and does not require accurate sampling clock phase adjustment. In the digital signal reconstruction, the input waveform is reconstructed by the multicoset signal processing algorithms and the phase noise of each tone of the PRBS test signal is measured.
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