Frequency-Selective Signal Sensing with Sub-Nyquist Uniform Sampling Scheme

Publication: Research - peer-reviewArticle in proceeding

Abstract

In this paper the authors discuss a problem of acquisition and reconstruction of a signal polluted by adjacent- channel interference. The authors propose a method to find a sub-Nyquist uniform sampling pattern which allows for correct reconstruction of selected frequencies. The method is inspired by the Restricted Isometry Property, which is known from the field of compressed sensing. Then, compressed sensing is used to successfully reconstruct a wanted signal even if some of the uniform samples were randomly lost, e. g. due to ADC saturation. An experiment which tests the proposed method in practice is presented.
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In this paper the authors discuss a problem of acquisition and reconstruction of a signal polluted by adjacent- channel interference. The authors propose a method to find a sub-Nyquist uniform sampling pattern which allows for correct reconstruction of selected frequencies. The method is inspired by the Restricted Isometry Property, which is known from the field of compressed sensing. Then, compressed sensing is used to successfully reconstruct a wanted signal even if some of the uniform samples were randomly lost, e. g. due to ADC saturation. An experiment which tests the proposed method in practice is presented.
Original languageEnglish
Title of host publicationSensing, Communication, and Networking (SECON), 2015 12th Annual IEEE International Conference on
Number of pages4
PublisherIEEE
Publication date22 Jun 2015
Pages166 - 168
ISBN (electronic)978-1-4673-7331-9
DOI
StatePublished - 22 Jun 2015
Event2015 12th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON) - Seattle, WA, United States

Conference

Conference2015 12th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON)
LandUnited States
BySeattle, WA
Periode22/06/201525/06/2015
ID: 225521704