Compressed Sensing-Based Direct Conversion Receiver

Jacek Pierzchlewski, Thomas Arildsen, Torben Larsen

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

3 Citations (Scopus)
1268 Downloads (Pure)


Due to the continuously increasing computational power of modern data receivers it is possible to move more and more processing from the analog to the digital domain. This paper presents a compressed sensing approach to relaxing the analog filtering requirements prior to the ADCs in a direct conversion receiver. In the presented solution, the filtered down-converted
radio signals are randomly sampled with an average sampling frequency lower than its Nyquist rate, and then reconstructed in a DSP system. To enable compressed sensing, this approach exploits the frequency domain sparsity of the down-converted radio signals.
As shown in an experiment presented in the article, when the proposed method is used, it is possible to relax the requirements for the quadrature down-converter filters. A random sampling device and an additional digital signal processing module is the price to pay for these relaxed filter requirements.
Original languageEnglish
Title of host publication2012 International Symposium on Communications and Information Technologies (ISCIT)
Number of pages6
PublisherIEEE Press
Publication date2012
Pages804 - 809
ISBN (Print)978-1-4673-1156-4
ISBN (Electronic)978-1-4673-1155-7
Publication statusPublished - 2012
EventInternational Symposium on Communications and Information Technologies - Gold Coast, Australia
Duration: 2 Oct 20125 Oct 2012


ConferenceInternational Symposium on Communications and Information Technologies
CityGold Coast


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