DocumentCode
2221531
Title
Small-signal and large-signal noise analyses of nonlinear circuits in frequency domain
Author
Troushin, S.V.
Author_Institution
Novosibirsk State Tech. Univ., Russia
fYear
2001
fDate
2001
Firstpage
11
Lastpage
25
Abstract
The problems of a noise analysis of nonlinear circuits for small and large signal levels are surveyed. It is shown, that the known method of correlation analysis of linear circuits requiring knowledge of the correlation matrices of all elements of the circuit can be implemented at a level of primary sources of noises of each circuit element. Such an approach essentially simplifies a mathematical and algorithmic realization of the analysis, dilating its possibilities on all devices, for which the equivalent noise circuits are known but the correlation noise matrix is not obtained. The nonlinear analysis of nonlinear circuit noise is discussed. The method of nonlinear noise analysis based on canonical decomposition of spectral densities of the circuit\´s noise sources is presented. The method, contrary to the LSSS method, widely used in the programs for the nonlinear analysis of microwave and RF circuits, allows effectively to parse both poorly "rustling" circuits, and circuit with a very high noise level, when the nonlinearity of the circuit in relation to noise cannot be neglected
Keywords
UHF circuits; circuit analysis computing; circuit noise; correlation theory; frequency-domain analysis; matrix algebra; microwave circuits; nonlinear network analysis; RF circuits; canonical decomposition; correlation matrix; harmonic balance method; large-signal noise analysis; microwave circuits; noise equivalent circuit; noise sources; nonlinear circuits; small-signal noise analysis; spectral densities; Algorithm design and analysis; Circuit analysis; Circuit noise; Linear circuits; Matrix decomposition; Microwave circuits; Microwave theory and techniques; Noise level; Nonlinear circuits; Signal analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Microwave Electronics: Measurements, Identification, Application Conference, 2001. MEMIA 2001
Conference_Location
Novosibirsk
Print_ISBN
0-7803-6743-X
Type
conf
DOI
10.1109/MEMIA.2001.982313
Filename
982313
Link To Document