DocumentCode :
2472296
Title :
Systematic development of nonlinear analog circuit macromodels through successive operator composition and nonlinear model decoupling
Author :
Wei, Ying ; Doboli, Alex
Author_Institution :
Dept. of Electr. & Comput. Eng., Stony Brook Univ., NY
fYear :
0
fDate :
0-0 0
Firstpage :
1023
Lastpage :
1028
Abstract :
This paper presents a systematic methodology for developing structural nonlinear macromodels for analog circuits. The methodology includes two steps: first, a nonlinear system is represented as a system with nonlinear inputs and linearly coupled blocks. Then, the linear couplings are removed. The methodology also uses description of circuit nonlinearities as a successive composition of three operators. The generated nonlinear models are scalable, tunable according to the required accuracy, and offer insight into the circuit operation
Keywords :
analogue circuits; coupled circuits; nonlinear network analysis; analog circuits; circuit nonlinearities; nonlinear macromodels; nonlinear model decoupling; successive operator composition; Algorithm design and analysis; Analog circuits; Analytical models; Circuit optimization; Circuit simulation; Coupling circuits; Linearity; Mathematical model; Nonlinear distortion; Nonlinear systems; Algorithms; Analog circuits; Design; Nonlinear macromodel; Structural macromodel;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Design Automation Conference, 2006 43rd ACM/IEEE
Conference_Location :
San Francisco, CA
ISSN :
0738-100X
Print_ISBN :
1-59593-381-6
Type :
conf
DOI :
10.1109/DAC.2006.229431
Filename :
1688949
Link To Document :
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