Chen Li, Ye Peng, Pan Zhixiang, Zhao Yu, Huang Wuhuang, Yang Kuojun
Rev Sci Instrum. 2024 Oct 1;95(10). doi: 10.1063/5.0220553.
The complexity of systems with parallel acquisition architectures has increased sharply with the continuous growth of signal bandwidth, and sampling precision has been greatly challenged. Considering that the signal to be measured usually exhibits sparsity in the frequency domain, this paper proposes a re-configurable bandwidth interleaved acquisition architecture to maximize test flexibility and accuracy. The sampling process is divided into two stages: sensing and re-configurable acquisition. In the sensing stage, the signal spectrum distribution is roughly understood using a sparse Fourier transform. Based on the spectrum sensing results, the subband selection and the adaptive adjustment of the mixing local oscillator in the acquisition system are performed. Ultimately, these steps enhance sampling accuracy. This paper verifies the effectiveness of this method on a 10 GHz acquisition system, demonstrating that it can significantly reduce data redundancy. In addition, it improves acquisition accuracy compared to traditional bandwidth interleaved systems. The experimental results indicate that re-configurable sampling can significantly improve the quality of sampling results. This is evidenced by a signal-to-noise ratio improvement of over 7.4 dB and a spurious-free dynamic range improvement of over 4.7 dB compared to traditional sampling results.
随着信号带宽的不断增长，具有并行采集架构的系统复杂度急剧增加，采样精度受到了极大挑战。考虑到待测信号通常在频域表现出稀疏性，本文提出一种可重构带宽交织采集架构，以最大化测试灵活性和准确性。采样过程分为两个阶段：传感和可重构采集。在传感阶段，使用稀疏傅里叶变换大致了解信号频谱分布。基于频谱传感结果，在采集系统中进行子带选择和混频本振的自适应调整。最终，这些步骤提高了采样精度。本文在10GHz采集系统上验证了该方法的有效性，表明它可以显著减少数据冗余。此外，与传统带宽交织系统相比，它提高了采集精度。实验结果表明，可重构采样可以显著提高采样结果的质量。与传统采样结果相比，信噪比提高超过7.4dB，无杂散动态范围提高超过4.7dB，证明了这一点。
