An Energy-Efficient Multi-Sensor Compressed Sensing System Employing Time-Mode Signal Processing Techniques
Omer Can Akgun (TU Delft - Electrical Engineering, Mathematics and Computer Science)
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 - Electrical Engineering, Mathematics and Computer Science)
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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.