Energy-efficient analog-to-digital conversion for ultra-wideband radio
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2007.
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Format: | Thesis |
Language: | eng |
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Massachusetts Institute of Technology
2008
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Online Access: | http://hdl.handle.net/1721.1/42231 |
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author | Ginsburg, Brian P. (Brian Paul), 1980- |
author2 | Anantha P. Chandrakasan. |
author_facet | Anantha P. Chandrakasan. Ginsburg, Brian P. (Brian Paul), 1980- |
author_sort | Ginsburg, Brian P. (Brian Paul), 1980- |
collection | MIT |
description | Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2007. |
first_indexed | 2024-09-23T08:59:57Z |
format | Thesis |
id | mit-1721.1/42231 |
institution | Massachusetts Institute of Technology |
language | eng |
last_indexed | 2024-09-23T08:59:57Z |
publishDate | 2008 |
publisher | Massachusetts Institute of Technology |
record_format | dspace |
spelling | mit-1721.1/422312019-04-10T15:34:07Z Energy-efficient analog-to-digital conversion for ultra-wideband radio Ginsburg, Brian P. (Brian Paul), 1980- Anantha P. Chandrakasan. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Electrical Engineering and Computer Science. Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2007. Includes bibliographical references (p. 207-222). In energy constrained signal processing and communication systems, a focus on the analog or digital circuits in isolation cannot achieve the minimum power consumption. Furthermore, in advanced technologies with significant variation, yield is traditionally achieved only through conservative design and a sacrifice of energy efficiency. In this thesis, these limitations are addressed with both a comprehensive mixed-signal design methodology and new circuits and architectures, as presented in the context of an analog-to-digital converter (ADC) for ultra-wideband (UWB) radio. UWB is an emerging technology capable of high-data-rate wireless communication and precise locationing, and it requires high-speed (>500MS/s), low-resolution ADCs. The successive approximation register (SAR) topology exhibits significantly reduced complexity compared to the traditional flash architecture. Three time-interleaved SAR ADCs have been implemented. At the mixed-signal optimum energy point, parallelism and reduced voltage supplies provide more than 3x energy savings. Custom control logic, a new capacitive DAC, and a hierarchical sampling network enable the high-speed operation. Finally, only a small amount of redundancy, with negligible power penalty, dramatically improves the yield of the highly parallel ADC in deep sub-micron CMOS. by Brian P. Ginsburg. Ph.D. 2008-09-03T15:00:58Z 2008-09-03T15:00:58Z 2007 2007 Thesis http://hdl.handle.net/1721.1/42231 231377899 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 222 p. application/pdf Massachusetts Institute of Technology |
spellingShingle | Electrical Engineering and Computer Science. Ginsburg, Brian P. (Brian Paul), 1980- Energy-efficient analog-to-digital conversion for ultra-wideband radio |
title | Energy-efficient analog-to-digital conversion for ultra-wideband radio |
title_full | Energy-efficient analog-to-digital conversion for ultra-wideband radio |
title_fullStr | Energy-efficient analog-to-digital conversion for ultra-wideband radio |
title_full_unstemmed | Energy-efficient analog-to-digital conversion for ultra-wideband radio |
title_short | Energy-efficient analog-to-digital conversion for ultra-wideband radio |
title_sort | energy efficient analog to digital conversion for ultra wideband radio |
topic | Electrical Engineering and Computer Science. |
url | http://hdl.handle.net/1721.1/42231 |
work_keys_str_mv | AT ginsburgbrianpbrianpaul1980 energyefficientanalogtodigitalconversionforultrawidebandradio |