Evolved Harmonic sampling: a tool to reduce the digital bandwidth requirement of RF receivers

Charles Nader, Wendy Van Moer, Kurt Barbé, Niclas Bjorsell, Peter Händel, Zhiyang Zhao

Research output: Chapter in Book/Report/Conference proceedingMeeting abstract (Book)

Abstract

High interest arise in measuring wideband signals for applications in cognitive radio's, multiband systems and also in testing nonlinear devices such as radio frequency (RF) power amplifiers. However such task is challenging due to technology limitation. Today's current generation of RF receivers has a limitation in their digital bandwidth, i.e. sampling rate, based on a high resolution, available analog bandwidth, and reasonable cost. Hence RF engineers strive to measure the waveform by violating the Nyquist-Shannon sampling constraint, and apply algorithms to reconstruct the original wide-band data. Such procedure is not straight forward due to information overlapping in the undersampled spectrum caused by aliasiing of binds higher than the Nyquist frequency will alias back to the first Nyquist band with ambiguities in there amplitude and phase information. In this paper, we will introduce an evolved harmonic sampling to measure and reconstruct wide-band waveforms. Harmonic sampling is well known in the field of large signal network analysis. However, implementing such theory is not an obvious procedure certainly for wide-band modulated signals and dense spectra. In this work, we will present a method that for any bandwidth and resolution frequency, it will outcome the required sampling frequency and number of samples that avoid overlapping in the aliased spectra as well as avoid ambiguities in critical tones.
Original languageEnglish
Title of host publicationRFMTC11, third biennial Conference on RF Measurement Technology for State of the Art Production and Design, Radio Center Gävle, Sweden, October 4-5, 2011
Publication statusPublished - 4 Oct 2011
EventUnknown -
Duration: 4 Oct 2011 → …

Conference

ConferenceUnknown
Period4/10/11 → …

Keywords

  • wideband signals
  • multiband systems
  • nonlinear devices

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