Noise separation in analog integrated circuits using independent component analysis technique

Authors:
Jingye Xu;Abinash Roy;Masud H. Chowdhury
Affiliations:
Department of Electrical and Computer Engineering, University of Illinois at Chicago, 851 South Morgan Street (M/C 154), Chicago, IL 60607, USA;Department of Electrical and Computer Engineering, University of Illinois at Chicago, 851 South Morgan Street (M/C 154), Chicago, IL 60607, USA;(Correspd. Tel.: +1 312 996 6016/ Fax: +1 312 996 6465/ E-mail: masud@ece.uic.edu) Department of Electrical and Computer Engineering, University of Illinois at Chicago, 851 South Morgan Street (M/ ...
Venue:
Integrated Computer-Aided Engineering
Year:
2008

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Abstract

Most of the existing noise analysis techniques in analog integrated circuits apply to only single noise source, and cannot take into account the evolving reality of multiple noise sources interacting with each other. Again the individual and relative impacts of various noise sources will determine what types of remedial steps can be taken. This paper proposes the concept of analyzing the impacts of multiple concurrent noise sources in a circuit network, and applies blind source separation (BSS) technique to analyze the characteristics of this compound noise effect in analog integrated circuits. The proposed algorithm can effectively extracts the time characteristics of individual noise sources from observed noises at circuit nodes. The estimated noise sources can aid in timing and spectral analysis and yield better design techniques.