ADC-assisted random sampler architecture for efficient sparse signal acquisition
Safarpour, Mehdi; Inanlou, Reza; Charmi, Mostafa; Shoaei, Omid; Silvén, Olli (2018-04-16)
M. Safarpour, R. Inanlou, M. Charmi, O. Shoaei and O. Silvén, "ADC-Assisted Random Sampler Architecture for Efficient Sparse Signal Acquisition," in IEEE Transactions on Very Large Scale Integration (VLSI) Systems. doi: 10.1109/TVLSI.2018.2821696
© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
https://rightsstatements.org/vocab/InC/1.0/
https://urn.fi/URN:NBN:fi-fe201804186594
Tiivistelmä
Abstract
A method for sampling Fourier sparse signals for efficient implementation of analog-to-information converters is proposed. The solution reconstructs Nyquist rate high-resolution signal from Nyquist rate low-resolution and sub-Nyquist rate high-resolution samples. For implementation, an architecture based on customized reconfigurable successive approximation register analog-to-digital converter is proposed, simulated, and demonstrated. The power consumption with a 90-nm CMOS process is less than 26 μW with 1-Msample/s rate in reconfigurable 3/10-bit mode. The number of floating point operations per second needed for signal recovery is less than 2% required by the orthogonal matching pursuit algorithm. The functionality of the solution has been verified with an experimental system.
Kokoelmat
- Avoin saatavuus [29998]