An Energy-Efficient Multi-Sensor Compressed Sensing System Employing Time-Mode Signal Processing Techniques
Omer Can Akgun (TU Delft - Bio-Electronics)
Mauro Mangia (University of Bologna)
Fabio Pareschi (Politecnico di Torino)
Riccardo Rovatti (University of Bologna)
Gianluca Setti (Politecnico di Torino)
Wouter A. Serdijn (TU Delft - Bio-Electronics)
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Abstract
This paper presents the design of an ultra-low energy, rakeness-based compressed sensing (CS) system that utilizes time-mode (TM) signal processing (TMSP). To realize TM CS operation, the presented implementation makes use of monostable multivibrator based analog-to-time converters, fixed-width pulse generators, basic digital gates and an asynchronous time-to-digital converter. The TM CS system was designed in a standard 0.18 µm IC process and operates from a supply voltage of 0.6V. The system is designed to accommodate data from 128 individual sensors and outputs 9-bit digital words with an average reconstruction SNR of 35.31 dB, a compression ratio of 3.2, with an energy dissipation per channel per measurement vector of 0.621 pJ at a rate of 2.23 k measurement vectors per second.