Skip to main content
U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

A Behavioral Model for Reducing the Complexity of Mixer Analysis and Design

Published

Author(s)

Alessandro Cidronali, Giovanni Loglio, Jeffrey Jargon, Gianfranco Manes

Abstract

This paper considers an approach for the behavioral modeling of the conversion mechanism in a nonlinear device suitable for the analysis of RF/microwave mixers. The core of the model consists of the conversion matrix of the nonlinear cell under investigation, which represents its linearization around the large-signal state. This approach allows for a straightforward implementation in CAD using the conversion matrix that is constructed from either simulation or measurements, this latter of which is considered in this paper. Model order is significantly reduced due to the absence of the local oscillator signal in the analysis frequency plan; the intermodulation products are calculated in relative amplitude and phase, and allocated in the spectrum on the basis of the conversion matrix coefficients. We illustrate the technique by implementing this model in commercial CAD software, which allows an in-depth insight into the conversion mechanism and illustrates the application to the design of a sub-harmonic mixer.
Citation
International Journal of Rf and Microwave Computer-Aided Engineering

Keywords

Behavioral modeling, conversionmatrix, sub-harmonic mixers, nonlinera circuit design.

Citation

Cidronali, A. , Loglio, G. , Jargon, J. and Manes, G. (2005), A Behavioral Model for Reducing the Complexity of Mixer Analysis and Design, International Journal of Rf and Microwave Computer-Aided Engineering, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=31870 (Accessed February 24, 2024)
Created May 10, 2005, Updated October 12, 2021