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A hierarchical bottom-up, equation-based optimization design methodology

Author(s)
Sanchez, William R
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Alternative title
hierarchical bottom-up, equation-based optimization methodology for system-level design
Other Contributors
Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
Advisor
Joel Dawson.
Terms of use
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
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Abstract
We have implemented a segment of an RF transmitter signal chain in discrete components using bipolar transistors. We formulated both a broadband amplifier and mixer as mathematical programs (MP) and extracted Pareto-optimal (PO) [1-3] tradeoff surfaces. Abstracting these PO surfaces in place of the blocks at the system level, we have demonstrated a new hierarchical system design methodology. Furthermore, the optimization, simulation, and measured results are consistent at all levels of hierarchy. Keywords: System design, optimization, geometric programming, analog circuits, Pareto-optimal.
Description
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, June 2007.
 
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
 
"May 2007."
 
Includes bibliographical references (p. 79-82).
 
Date issued
2007
URI
http://hdl.handle.net/1721.1/41548
Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Publisher
Massachusetts Institute of Technology
Keywords
Electrical Engineering and Computer Science.

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