Demodulating Subsampled Direct Sequence Spread Spectrum Signals using Compressive Signal Processing

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

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17 Citationer (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.
Titel2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO)
Antal sider5
ISBN (Trykt)978-1-4673-1068-0
StatusUdgivet - 2012
Begivenhed20th European Signal Processing Conference - Bucharest, Rumænien
Varighed: 27 aug. 201231 aug. 2012


Konference20th European Signal Processing Conference
NavnEuropean Signal Processing Conference (EUSIPCO)


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