DocumentCode :
1615343
Title :
A Coarse Model for Estimation of Switching Noise Coupling in Lightly Doped Substrates
Author :
Babic, Milan ; Krstic, Milo
Author_Institution :
BTU Cottbus-Senftenberg, Cottbus, Germany
fYear :
2015
Firstpage :
217
Lastpage :
222
Abstract :
The objective of this paper is to propose a coarse model for coupling of switching noise through lightly doped substrates. This could be achieved by assuming a regular placement of substrate contacts in a digital aggressor. Additionally, an approximation of equal ground bounce in an entire digital aggressor is applied. The proposed model is aimed for use as an estimation before placement, i.e. Before knowing the exact layout details. Consequently, this model could be utilized as a guideline for determining the optimal floor planning of digital blocks with regards to substrate noise coupling to sensitive analog modules. Extraction code is written in MATLAB. Evaluation of the model has shown that reasonable accuracy of the estimation could be expected and that the proposed method could be used as a baseline for early exploration of substrate noise characteristics of the design.
Keywords :
analogue integrated circuits; doping; electrical contacts; integrated circuit layout; integrated circuit noise; substrates; MATLAB; coarse model; digital aggressor; digital blocks; equal ground bounce; exact layout details; extraction code; lightly doped substrates; optimal floor planning; sensitive analog modules; substrate contacts; substrate noise characteristics; substrate noise coupling; switching noise coupling; Approximation methods; Couplings; Impedance; Mathematical model; Noise; Ports (Computers); Substrates; Switching noise; estimation; lightly doped substrate; modeling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Design and Diagnostics of Electronic Circuits & Systems (DDECS), 2015 IEEE 18th International Symposium on
Conference_Location :
Belgrade
Print_ISBN :
978-1-4799-6779-7
Type :
conf
DOI :
10.1109/DDECS.2015.27
Filename :
7195700
Link To Document :
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