Demodulating Subsampled Direct Sequence Spread Spectrum Signals using Compressive Signal Processing

Karsten Fyhn, Thomas Arildsen, Torben Larsen, Søren Holdt Jensen

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

17 Citations (Scopus)
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We show that to lower the sampling rate in a spread spectrum communication system using Direct Sequence Spread Spectrum (DSSS), compressive signal processing can be applied to demodulate the received signal. This may lead to a decrease in the power consumption or the manufacturing price of wireless receivers using spread spectrum technology. The main novelty of this paper is the discovery that in spread spectrum systems it is possible to apply compressive sensing with a much simpler hardware architecture than in other systems, making the implementation both simpler and more energy efficient.
Our theoretical work is exemplified with a numerical experiment using the IEEE 802.15.4 standard’s 2.4GHz band specification. The numerical results support our theoretical indings and indicate that compressive sensing may be used
successfully in spread spectrum communication systems. The results obtained here may also be applicable in other spread spectrum technologies, such as Code Division Multiple Access (CDMA) systems.
Original languageEnglish
Title of host publication2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO)
Number of pages5
Publication date2012
ISBN (Print)978-1-4673-1068-0
Publication statusPublished - 2012
Event20th European Signal Processing Conference - Bucharest, Romania
Duration: 27 Aug 201231 Aug 2012


Conference20th European Signal Processing Conference
SeriesEuropean Signal Processing Conference (EUSIPCO)


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