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Unfolding the frequency spectrum of undersampled wideband data
University of Gävle, Faculty of Engineering and Sustainable Development, Department of Electronics, Mathematics and Natural Sciences, Electronics.
University of Gävle, Faculty of Engineering and Sustainable Development, Department of Electronics, Mathematics and Natural Sciences, Electronics.ORCID iD: 0000-0001-5429-7223
Royal Insstitute of Technology, Signal Processing Lab.
2011 (English)In: Signal Processing, ISSN 0165-1684, E-ISSN 1872-7557, Vol. 91, no 5, p. 1347-1350Article in journal (Refereed) Published
Abstract [en]

In this letter, we discuss the problem of unfolding the frequency spectrum for undersampled wideband data. The problem is of relevance to state-of-the-art radio frequency measurement systems, which capture repetitive waveform based on a sampling rate that violates the Nyquist constraint. The problem is presented in a compact form by the inclusion of a complex operator called the CN operator. The ease-of-use problem formulation eliminates the ambiguity caused by folded frequency spectra, in particular those with lines standing on multiples of the Nyquist frequency that are captured with erroneous amplitude and phase values. (C) 2010 Elsevier B.V. All rights reserved.

Place, publisher, year, edition, pages
2011. Vol. 91, no 5, p. 1347-1350
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URN: urn:nbn:se:hig:diva-8513DOI: 10.1016/j.sigpro.2010.12.013ISI: 000287905700032Scopus ID: 2-s2.0-79551484125OAI: oai:DiVA.org:hig-8513DiVA, id: diva2:400520
Available from: 2011-02-25 Created: 2011-02-25 Last updated: 2018-03-13Bibliographically approved

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Nader, CharlesBjörsell, Niclas

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