Design and implementation of a fully integrated compressed-sensing signal acquisition system
Abstract
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.
Additional Information
© 2012 IEEE. Date of Current Version: 30 August 2012. This work was funded under DARPA grant FA8650-08-C-7853; in particular, the authors are indebted to Dr. Denis Healy for his foresight and encouragement. Justin Romberg, Michael Wakin, and Michael Grant also contributed in many ways.Additional details
- Eprint ID
- 33927
- Resolver ID
- CaltechAUTHORS:20120907-095250187
- FA8650-08-C-7853
- Defense Advanced Research Projects Agency (DARPA)
- Created
-
2012-09-07Created from EPrint's datestamp field
- Updated
-
2023-03-15Created from EPrint's last_modified field