DocumentCode :
252132
Title :
Analog signal processing in deep submicron CMOS technologies using inverters
Author :
Raghunandan, K.R. ; Nan Sun ; Viswanathan, T.R.
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Texas at Austin, Austin, TX, USA
fYear :
2014
fDate :
3-6 Aug. 2014
Firstpage :
394
Lastpage :
397
Abstract :
Analog signal-processing in deep sub-micron technologies poses many challenges arising from both low supply voltage and intrinsic voltage-gain of short channel devices. Class-AB CMOS transconductance obtained by a pair of complementary transistors is a widely used power efficient building block because it has linear v - i characteristics. This is topologically the same as the logic inverter of CMOS digital systems. This block enables the basic signal-processing operations of addition, subtraction, scaling and integration. Replica-circuits are used to keep the large process, voltage and temperature (PVT) variations under control. Thus we can perform analog signal-processing at a level of precision required for designing high-speed data communication systems. This paper discusses this in a canonical fashion. Simulation results using device models for 65 nm CMOS process are presented to validate these ideas.
Keywords :
CMOS analogue integrated circuits; CMOS logic circuits; logic gates; signal processing; CMOS digital systems; PVT; analog signal processing; class-AB CMOS transconductance; complementary transistors; deep submicron CMOS technology; high-speed data communication systems; intrinsic voltage-gain; linear V-I characteristics; logic inverter; low supply voltage; power efficient building block; process-voltage and temperature variations; replica-circuits; short channel devices; size 65 nm; CMOS integrated circuits; Computers; Inverters; MOS devices; Transconductance; Transistors; Voltage control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems (MWSCAS), 2014 IEEE 57th International Midwest Symposium on
Conference_Location :
College Station, TX
ISSN :
1548-3746
Print_ISBN :
978-1-4799-4134-6
Type :
conf
DOI :
10.1109/MWSCAS.2014.6908435
Filename :
6908435
Link To Document :
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