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ADC-assisted random sampler architecture for efficient sparse signal acquisition |
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| Author: | Safarpour, Mehdi1; Inanlou, Reza2; Charmi, Mostafa3; |
| Organizations: |
1University of Oulu, FI-90014 Oulu, Finland 2University of Tehran, Tehran 1417466191, Iran 3University of Zanjan, Zanjan 4537138791, Iran |
| Format: | article |
| Version: | accepted version |
| Access: | open |
| Online Access: | PDF Full Text (PDF, 0.5 MB) |
| Persistent link: | http://urn.fi/urn:nbn:fi-fe201804186594 |
| Language: | English |
| Published: |
Institute of Electrical and Electronics Engineers,
2018
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| Publish Date: | 2018-04-18 |
| Description: |
AbstractA 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. see all
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| Series: |
IEEE transactions on very large scale integration (VLSI) systems |
| ISSN: | 1063-8210 |
| ISSN-E: | 1557-9999 |
| ISSN-L: | 1063-8210 |
| Volume: | 26 |
| Issue: | 8 |
| Pages: | 1590 - 1594 |
| DOI: | 10.1109/TVLSI.2018.2821696 |
| OADOI: | https://oadoi.org/10.1109/TVLSI.2018.2821696 |
| Type of Publication: |
A1 Journal article – refereed |
| Field of Science: |
113 Computer and information sciences 213 Electronic, automation and communications engineering, electronics |
| Subjects: | |
| Copyright information: |
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