Optimized subsampling frequency selection for nonlinear systems

Mohamed Anis Messaoud; Rim Barrak; Fadhel Ghannouchi

doi:10.1109/CCECE.2014.6901115

Optimized subsampling frequency selection for nonlinear systems

Mohamed Anis Messaoud^*, Rim Barrak, Fadhel Ghannouchi

^*Corresponding author for this work

King Fahd University of Petroleum & Minerals

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Due to the presence of intermodulation products, a nonlinear system driven by a band pass signal will generate at its output a set of undesired signal bands. When detecting such signals using subsampling, one has to take into consideration these distortions in order to successfully down convert the signal of interest. Even though we are only interested in one band, the available spectrum configuration requires the use of multiband subsampling theory which leads to very tight constraint on the possible subsampling frequency ranges. In this paper a modified version of the multiband subsampling algorithm is presented. This proposed solution is more adapted to nonlinear systems and helps relax the constraints on sampling frequency.

Original language	English
Title of host publication	Canadian Conference on Electrical and Computer Engineering
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781479930999
DOIs	https://doi.org/10.1109/CCECE.2014.6901115
State	Published - 17 Sep 2014

Publication series

Name	Canadian Conference on Electrical and Computer Engineering
ISSN (Print)	0840-7789

Bibliographical note

Publisher Copyright:
© 2014 IEEE.

ASJC Scopus subject areas

Hardware and Architecture
Electrical and Electronic Engineering

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10.1109/CCECE.2014.6901115

Cite this

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title = "Optimized subsampling frequency selection for nonlinear systems",

abstract = "Due to the presence of intermodulation products, a nonlinear system driven by a band pass signal will generate at its output a set of undesired signal bands. When detecting such signals using subsampling, one has to take into consideration these distortions in order to successfully down convert the signal of interest. Even though we are only interested in one band, the available spectrum configuration requires the use of multiband subsampling theory which leads to very tight constraint on the possible subsampling frequency ranges. In this paper a modified version of the multiband subsampling algorithm is presented. This proposed solution is more adapted to nonlinear systems and helps relax the constraints on sampling frequency.",

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doi = "10.1109/CCECE.2014.6901115",

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Optimized subsampling frequency selection for nonlinear systems. / Messaoud, Mohamed Anis; Barrak, Rim; Ghannouchi, Fadhel.
Canadian Conference on Electrical and Computer Engineering. Institute of Electrical and Electronics Engineers Inc., 2014. 6901115 (Canadian Conference on Electrical and Computer Engineering).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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N2 - Due to the presence of intermodulation products, a nonlinear system driven by a band pass signal will generate at its output a set of undesired signal bands. When detecting such signals using subsampling, one has to take into consideration these distortions in order to successfully down convert the signal of interest. Even though we are only interested in one band, the available spectrum configuration requires the use of multiband subsampling theory which leads to very tight constraint on the possible subsampling frequency ranges. In this paper a modified version of the multiband subsampling algorithm is presented. This proposed solution is more adapted to nonlinear systems and helps relax the constraints on sampling frequency.

AB - Due to the presence of intermodulation products, a nonlinear system driven by a band pass signal will generate at its output a set of undesired signal bands. When detecting such signals using subsampling, one has to take into consideration these distortions in order to successfully down convert the signal of interest. Even though we are only interested in one band, the available spectrum configuration requires the use of multiband subsampling theory which leads to very tight constraint on the possible subsampling frequency ranges. In this paper a modified version of the multiband subsampling algorithm is presented. This proposed solution is more adapted to nonlinear systems and helps relax the constraints on sampling frequency.

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M3 - Conference contribution

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BT - Canadian Conference on Electrical and Computer Engineering

PB - Institute of Electrical and Electronics Engineers Inc.

ER -

Optimized subsampling frequency selection for nonlinear systems

Abstract

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