DocumentCode :
1174
Title :
A Highly-Scalable Analog Equalizer Using a Tunable and Current-Reusable for 10-Gb/s I/O Links
Author :
Yong Chen ; Pui-In Mak ; Yan Wang
Author_Institution :
Inst. of Microelectron., Tsinghua Univ., Beijing, China
Volume :
23
Issue :
5
fYear :
2015
fDate :
May-15
Firstpage :
978
Lastpage :
982
Abstract :
A 0.0015-mm2 1.28-mW single-branch analog equalizer is demonstrated in 65-nm CMOS for 10-Gb/s input/output links. Instead of using passive inductors that are untunable and unscalable with technologies, gain compensation here is optimized via a tunable and currentreusable active inductor (AI). This AI incorporates a positive-feedback impedance converter with only two MOSFETs and one MOS varactor. Together with the use of: 1) negative Miller capacitors to optimize the pole-zero composition and 2) tunable resistive source degeneration to adjust the low-frequency losses, the analog equalizer recovers an eye-opening rate of minimally 30% up to 10 Gb/s over a pair of 60-cm FR4 microtrip traces. The data Pk-to-Pk jitter is <;24 ps, and the RMS jitter is <;4 ps, over a number of pseudorandom bit sequence patterns (27-1, 215-1, and 231-1).
Keywords :
CMOS analogue integrated circuits; MOSFET; circuit feedback; equalisers; impedance convertors; inductors; random sequences; varactors; AI; CMOS; FR4 microtrip traces; I-O links; MOS varactor; MOSFET; RMS jitter; bit rate 10 Gbit/s; current-reusable active inductor; data Pk-to-Pk jitter; gain compensation; input-output links; low-frequency losses; negative Miller capacitors; pole-zero composition; positive-feedback impedance converter; power 1.28 mW; pseudorandom bit sequence patterns; single-branch analog equalizer; size 65 nm; tunable active inductor; tunable resistive source degeneration; Artificial intelligence; CMOS integrated circuits; CMOS technology; Computer aided instruction; Equalizers; Jitter; Very large scale integration; Active inductor; CMOS; analog equalizer; eye-opening rate; jitter; negative Miller capacitor; positive-feedback; positive-feedback.;
fLanguage :
English
Journal_Title :
Very Large Scale Integration (VLSI) Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
1063-8210
Type :
jour
DOI :
10.1109/TVLSI.2014.2318733
Filename :
6813691
Link To Document :
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