Systems Engineering and Electronics

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Advances in analog-to-information convertor

ZHANG Gong1,2, WEN Fang-qing1,2, TAO Yu1,2, LIU Su1,2, BEN De1,2,3   

  1. 1. College of Electronics and Information Engineering, Nanjing University of Aeronautics and Astronautics,Nanjing
    210016, China; 2. Key Laboratory of Radar Imaging and Microwave Photonics, Ministry of Education, Nanjing
    210016, China; 3. Nanjing Research Institute of Electronics Technology, Nanjing 210039, China
  • Online:2015-01-28 Published:2010-01-03

Abstract:

With the development of wideband and ultra wideband communications, huge challenges will appear 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 typical 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 research directions of AIC are given.

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