全集成压缩传感信号采集系统的设计与实现

Juhwan Yoo, Stephen Becker, M. Monge, M. Loh, E. Candès, A. Emami-Neyestanak
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引用次数: 73

摘要

压缩感知(CS)是一个非常有趣的话题,因为它提供了理论保证和计算上易于处理的算法,以接近其信息内容的速率完全恢复采样信号。本文介绍了第一个物理实现的完全集成的基于CS的模拟-信息(A2I)预处理器的设计,称为随机调制预积分器(RMPI)[1]。RMPI实现2GHz带宽,同时以比奈奎斯特速率低12.5倍的速率对采样进行数字化。这种实现的成功是由于连贯的理论/算法/硬件协同设计方法。本文讨论了设计的关键方面,给出了仿真和硬件测量,并讨论了性能的限制因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design and implementation of a fully integrated compressed-sensing signal acquisition system
Compressed sensing (CS) is a topic of tremendous interest because it provides theoretical guarantees and computationally tractable algorithms to fully recover signals sampled at a rate close to its information content. This paper presents the design of the first physically realized fully-integrated CS based Analog-to-Information (A2I) pre-processor known as the Random-Modulation Pre-Integrator (RMPI) [1]. The RMPI achieves 2GHz bandwidth while digitizing samples at a rate 12.5× lower than the Nyquist rate. The success of this implementation is due to a coherent theory/algorithm/hardware co-design approach. This paper addresses key aspects of the design, presents simulation and hardware measurements, and discusses limiting factors in performance.
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