⚡ 本页包含 AI 生成的分析内容,仅供参考
该论文提出了一种基于压缩感知的可扩展20GHz片上电源噪声分析器,解决了传统外部测量受封装影响以及片上测量带宽、精度和测量时间难以兼顾的问题。通过压缩感知技术实现了高带宽、高频率分辨率的噪声测量。
Power-supply noise (PSN) is a key consideration that determines the performance, as well as functionality of ICs, especially for modern SoCs with significantly increased scale, level of integration, and sophisticated voltage and power controls. Externally measured PSN is inevitably distorted by packaging and other factors; therefore, on-die measurement of PSN is highly desirable with large bandwidth, high accuracy, high frequency resolution and reasonable measurement time, which are extremely challenging to achieve design objectives. A sample/hold-based approach with direct voltage comparison provides limited resolution under noisy supplies, preventing it from spectral measurement [1]. Time-domain comparison with VCO-based quantizers have been proposed with improved resolution and scalability. However, the fundamental tradeoff between bandwidth and accuracy has limited the high-frequency performance of S/H-based
Pengfei Zhai, Xiong Zhou, Yan Cai, Zheng Zhu, Fan Zhang, Qiang Li
University of Electronic Science and Technology of China, Chengdu, China