Demodulating Subsampled Direct Sequence Spread Spectrum Signals using Compressive Signal Processing

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

Demodulating Subsampled Direct Sequence Spread Spectrum Signals using Compressive Signal Processing

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

Department of Electronic Systems

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

17 Citations (Scopus)

835 Downloads (Pure)

Abstract

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 language	English
Title of host publication	2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO)
Number of pages	5
Publication date	2012
Pages	2556-2560
ISBN (Print)	978-1-4673-1068-0
Publication status	Published - 2012
Event	20th European Signal Processing Conference - Bucharest, Romania Duration: 27 Aug 2012 → 31 Aug 2012

Conference

Conference	20th European Signal Processing Conference
Country/Territory	Romania
City	Bucharest
Period	27/08/2012 → 31/08/2012

Series	European Signal Processing Conference (EUSIPCO)
ISSN	2076-1465

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1569577097Submitted manuscript, 279 KB
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Cite this

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title = "Demodulating Subsampled Direct Sequence Spread Spectrum Signals using Compressive Signal Processing",

abstract = "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{\textquoteright}s 2.4GHz band specification. The numerical results support our theoretical indings and indicate that compressive sensing may be usedsuccessfully 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.",

author = "Karsten Fyhn and Thomas Arildsen and Torben Larsen and Jensen, {S{\o}ren Holdt}",

year = "2012",

language = "English",

isbn = "978-1-4673-1068-0",

series = "European Signal Processing Conference (EUSIPCO)",

publisher = "European Association for Signal Processing (EURASIP)",

pages = "2556--2560",

booktitle = "2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO)",

note = "20th European Signal Processing Conference, EUSIPCO 2012 ; Conference date: 27-08-2012 Through 31-08-2012",

}

Fyhn, K, Arildsen, T , Larsen, T & Jensen, SH 2012, Demodulating Subsampled Direct Sequence Spread Spectrum Signals using Compressive Signal Processing. in 2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO). European Signal Processing Conference (EUSIPCO), pp. 2556-2560, 20th European Signal Processing Conference, Bucharest, Romania, 27/08/2012. <https://ieeexplore.ieee.org/document/6333832>

Demodulating Subsampled Direct Sequence Spread Spectrum Signals using Compressive Signal Processing. / Fyhn, Karsten; Arildsen, Thomas ; Larsen, Torben et al.

2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO). 2012. p. 2556-2560 (European Signal Processing Conference (EUSIPCO)).

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

TY - GEN

T1 - Demodulating Subsampled Direct Sequence Spread Spectrum Signals using Compressive Signal Processing

AU - Fyhn, Karsten

AU - Arildsen, Thomas

AU - Larsen, Torben

AU - Jensen, Søren Holdt

PY - 2012

Y1 - 2012

N2 - 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 usedsuccessfully 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.

AB - 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 usedsuccessfully 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.

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M3 - Article in proceeding

SN - 978-1-4673-1068-0

T3 - European Signal Processing Conference (EUSIPCO)

SP - 2556

EP - 2560

BT - 2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO)

T2 - 20th European Signal Processing Conference

Y2 - 27 August 2012 through 31 August 2012

ER -

Demodulating Subsampled Direct Sequence Spread Spectrum Signals using Compressive Signal Processing

Abstract

Conference

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PhD project: Compressive Sensing in Communication Systems

SparSig: Sparse Signal Processing in Wireless Communications

Compressed Sensing in RF Communication and Analog-to-Digital Conversion

Compressed Sensing in RF Communication and Analog-to-Digital Conversion

20th European Signal Processing Conference

Cite this

Demodulating Subsampled Direct Sequence Spread Spectrum Signals using Compressive Signal Processing

Abstract

Conference

Access to Document

Other files and links

Fingerprint

Projects

PhD project: Compressive Sensing in Communication Systems

SparSig: Sparse Signal Processing in Wireless Communications

Activities

Compressed Sensing in RF Communication and Analog-to-Digital Conversion

Compressed Sensing in RF Communication and Analog-to-Digital Conversion

20th European Signal Processing Conference

Cite this