DocumentCode
628671
Title
Pre-emphasis parameter optimization for high speed channels using de-convolution approach
Author
Jifeng Mao ; Chandra, U.
Author_Institution
Dell Force 10, San Jose, CA, USA
fYear
2013
fDate
28-31 May 2013
Firstpage
2069
Lastpage
2074
Abstract
This paper covers a novel technique for quickly determining optimum settings for pre-emphasis parameters used in high speed SerDes links. Time domain de-convolution is used for determining the optimum pre-emphasis settings for the high speed differential channel. The optimization is done in the frequency domain through FFT and method of exhaustion. The results from the analysis are applied on 10Gbps SerDes links of a top-of-rack Ethernet switch. Measurement results from a vector network analyzer and oscilloscope are shown as part of the verification. This paper is especially useful for optimizing the SerDes channels and it helps the engineers tune the transmitter pre-emphasis without heavily depending on AMI models, and can be treated as a complementary method to the conventional simulation techniques using IBIS models. The proposed method can be applied at the early and troubleshooting stage of the high speed link design.
Keywords
deconvolution; equalisers; fast Fourier transforms; frequency-domain analysis; local area networks; optimisation; time-domain analysis; AMI models; FFT; IBIS models; SerDes channels; bit rate 10 Gbit/s; frequency domain; high speed SerDes links; high speed differential channel; method of exhaustion; optimum preemphasis settings; preemphasis parameters; time domain deconvolution; top-of-rack Ethernet switch; transmitter preemphasis; Frequency-domain analysis; Receivers; Scattering parameters; Time-domain analysis; Transfer functions; Transmission line measurements; Transmitters;
fLanguage
English
Publisher
ieee
Conference_Titel
Electronic Components and Technology Conference (ECTC), 2013 IEEE 63rd
Conference_Location
Las Vegas, NV
ISSN
0569-5503
Print_ISBN
978-1-4799-0233-0
Type
conf
DOI
10.1109/ECTC.2013.6575864
Filename
6575864
Link To Document