模拟-信息转换器研究进展

Advances in analog-to-information convertor

随着未来宽带、超宽带通信技术的发展,现有以传统奈奎斯特采样定理为基础的信号的采集、传输、存储和处理系统将面临严峻的挑战,模拟-信息转换器(analog-to-information convertor,AIC)将可能是这些挑战的有效解决途径。AIC是近年来国内外研究的热点,其以压缩感知原理为理论基础,突破传统的奈奎斯特采样定理的约束,以远低于奈奎斯特速率对信号进行采样,并确保能准确重构出原始信号,是稀疏信号的有效获取方法。以稀疏信号采集为主线,综述了近年来AIC设计与实现的研究进展,分析了不同方案在稀疏信号获取方面的优势与不足,描述了国内外的相关研究进展,并对未来AIC可能的发展方向进行了展望。

With the development of wideband and ultra wideband communications, huge challenges will ap- pear in the traditional Nyquist sampling theorem based signal collection, transmission, storage and processing system. The analog-to-information convertor（AIC）may be an effective way to overcome these challenges. As a research hotspot in recent years, AIC takes compressive sensing as its theoretical base and breaks through the restrictions of the Nyquist sampling theorem. The AIC system allows accurate reconstruction of signals sampled at a rate many times less than that of the conventional Nyquist frequency, making it an effective way of signal conversion. This paper reviews the recent research progress in sparse signal acquisition and introduces the typi- cal schemes of AIC design and implementation. The advantages and disadvantages of different approaches have been analyzed, and research development at home and abroad has been described. Conclusions and future re- search directions of AIC are given.