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Title:BER-optimal analog-to-digital converters for communication links
Author(s):Lu, Minwei
Advisor(s):Shanbhag, Naresh R.; Singer, Andrew C.
Contributor(s):Shanbhag, Naresh R.
Department / Program:Electrical & Computer Eng
Discipline:Electrical & Computer Engr
Degree Granting Institution:University of Illinois at Urbana-Champaign
Analog-to-digital converters (ADC)
communication links
ADC shaping gain
Bit-error rate (BER)
Abstract:In this thesis, we propose BER-optimal analog-to-digital converters (ADC) where quantization levels and thresholds are set non-uniformly to minimize the bit-error rate (BER). This is in contrast to present-day ADCs which act as transparent waveform preservers. We define the ADC shaping gain metric in order to quantify the improvements. Simulations for various communication channels show that the BER-optimal ADC achieves shaping gains that range from 2.5 dB for channels with low intersymbol interference (ISI) to more than 30 dB for channels with high ISI. Moreover, a 3 bit BER-optimal ADC achieves at least as low a BER as a 4 bit uniform ADC. For flash converters, this corresponds to a power reduction by 2x. Look-up table based equalizers compatible with BER-optimal ADCs are shown to reduce the power up to 47% and the area up to 66% in a 45 nm CMOS process. The shaping gain due to BER-optimal ADCs can be exploited to lower peak transmit swings at the transmitter or decrease power consumption of the ADC.
Issue Date:2010-05-19
Rights Information:Copyright 2010 Minwei Lu
Date Available in IDEALS:2010-05-19
Date Deposited:May 2010

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