A method for computer aided noise analysis is presented which is based on a description of noise by means of correlation matrices. The method is a two-port analysis and it is, therefore, applicable to circuits which are composed of simple two-ports with known noise performance. The correlation matrix concept holds two main advantages over other methods of noise analysis. Partially correlated noise sources can be treated without any loss of efficiency and information concerning minimum noise figure and noise matching conditions is obtained.

An efficient method for computer aided noise analysis of linear amplifier networks

In recent years, reduced-order modelling techniques based on Krylov-subspace iterations, especially the Lanczos algorithm and the Arnoldi process, have become popular tools for tackling the large-scale time-invariant linear dynamical systems that arise in the simulation of electronic circuits. This paper reviews the main ideas of reduced-order modelling techniques based on Krylov subspaces and describes some applications of reduced-order modelling in circuit simulation.

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Model reduction methods based on Krylov subspaces

In recent years reduced-order modeling techniques based on Krylov-subspace iterations especially the Lanczos algorithm and the Arnoldi process have become popular tools to tackle the large-scale time-invariant linear dynamical systems that arise in the simulation of electronic circuits. This chapter reviews the main ideas of reduced-order modeling techniques based on Krylov subspaces and describes their use in circuit simulation.

Reduced-Order Modeling Techniques Based on Krylov Subspaces and Their Use in Circuit Simulation

CANCER is a reasonably general circuit analysis program especially suited to integrated-circuit simulation. The program provides for the analysis of large circuits in the following four modes of operation: nonlinear d.c., large-signal transient, small-signal a.c., and thermal and shot noise. These subanalysis capabilities are intercoupled appropriately for convenience and efficiency. Internally, CANCER is a very general nodal analysis program that derives its efficiency from the exploitation of sparse matrix, adjoint, and implicit integration techniques.

Computer analysis of nonlinear circuits, excluding radiation (CANCER)

The interreciprocal adjoint network concept is applied to the computer simulation of electronic-circuit noise performance. The method described is extremely efficient, allowing consideration of an arbitrarily large number of uncorrelated noise sources with less effort than for the original small signal a.c. analysis. Because all noise sources may be considered, no a priori assumption need be made as to which noise sources are dominant in a complicated circuit. The method is illustrated with an operational- amplifier example.

Computationally efficient electronic-circuit noise calculations

CANCER - a general-purpose circuit simulation program - capable of dc nonlinear, ac small signal, and transient analysis of large circuits, will be described, citing its application to noise performance calculation.

CANCER: Computer analysis of nonlinear circuits excluding radiation

Transistor model parameters can be obtained most accurately by direct examination of device geometry and material properties. However, it is more desirable to determine these parameters through known terminal voltage and current conditions. This paper will describe a method by which parameter determination can be accomplished for a model shown to characterize the transistor more closely than previously known models.

Automated bipolar junction transistor d.c. model parameter determination

Cancer is a program designed for the complete simulation of integrated electronic circuits, possessing the following features:

R. Rohrer

Papers

Computationally efficient electronic-circuit noise calculations

CANCER: Computer analysis of nonlinear circuits excluding radiation

Automated bipolar junction transistor d.c. model parameter determination

CANCER: Computer Analysis of Nonlinear Circuits Excluding Radiation