Department of Information Engineering, Polytechnic University of Marche, 60131 Ancona, Italy.
Department of Engineering, University of Sannio, 82100 Benevento, Italy.
Sensors (Basel). 2023 Jan 11;23(2):861. doi: 10.3390/s23020861.
Data acquisition systems have shown the need of wideband spectrum monitoring for many years. This paper describes and discusses a recently proposed architecture aimed at acquiring efficiently wideband signals, named the Analog-to-Information Converter (AIC). AIC framework and working principle implementing the sub-Nyquist sampling are analyzed in general terms. Attention is specifically focused on the idea of exploiting the condition of the signals that, despite their large bandwidth, have a small information content in the frequency domain. However, as clarified in the paper, employing AICs in measurement instrumentation necessarily entails their characterization, through the analysis of their building blocks and the corresponding non-idealities, in order to improve the signal reconstruction.
多年来，数据采集系统已经表明需要进行宽带频谱监测。本文描述并讨论了一种最近提出的架构，旨在有效地获取宽带信号，称为模拟到信息转换器（AIC）。本文从总体上分析了实现欠奈奎斯特采样的 AIC 框架和工作原理。特别关注利用信号条件的想法，尽管信号带宽很大，但在频域中信息量很小。然而，正如本文所阐明的，在测量仪器中使用 AIC 必然需要通过分析其构建块和相应的非理想性来对其进行特性描述，以改善信号重建。
