DocumentCode :
1569651
Title :
A novel characterization technique for high speed I/O mixed signal circuit components using random jitter injection
Author :
Chun, Ji Hwan Paul ; Lee, Jae Wook ; Abraham, Jacob A.
Author_Institution :
Intel Corp., Austin, TX, USA
fYear :
2010
Firstpage :
312
Lastpage :
317
Abstract :
Timing problems in high-speed serial communications are mitigated with phase-interpolator (PI) circuitry. Linearity testing of PI has been challenging, even though PI is widely used in modern high speed I/O architectures. Previous research has focused on implementing additional built-in circuits to measure PI linearity. In this paper, we present a cost effective PI linearity measurement technique which requires no significant modification of existing I/O circuits. Our method uses jitter distributions obtained from random jitter injected into the data channel. Two distributions are separately obtained using undersampling and sampling using PI. The proposed algorithm calculates the differential nonlinearity (DNL) from the difference of these distributions. Simulation results show that the average prediction RMS error for the DNL calculation is 0.31 LSB.
Keywords :
circuit noise; high-speed integrated circuits; integrated circuit testing; jitter; mixed analogue-digital integrated circuits; random noise; PI linearity measurement; data channel; differential nonlinearity; high speed I/O architecture; high speed I/O mixed signal circuit; high-speed serial communication; jitter distribution; linearity testing; phase-interpolator circuitry; random jitter injection; timing problem; Automatic testing; Circuit testing; Costs; Integrated circuit interconnections; Linearity; Logic testing; Phase measurement; Timing jitter; Velocity measurement; Voltage;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Design Automation Conference (ASP-DAC), 2010 15th Asia and South Pacific
Conference_Location :
Taipei
Print_ISBN :
978-1-4244-5765-6
Electronic_ISBN :
978-1-4244-5767-0
Type :
conf
DOI :
10.1109/ASPDAC.2010.5419875
Filename :
5419875
Link To Document :
بازگشت