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Optimal and Near-Optimal Spectrum Sensing of OFDM Signals in AWGN Channels
Linköping University, Department of Electrical Engineering, Communication Systems. Linköping University, The Institute of Technology.
Linköping University, Department of Electrical Engineering, Communication Systems. Linköping University, The Institute of Technology.ORCID iD: 0000-0002-7599-4367
2010 (English)In: Proceedings of the International Workshop on Cognitive Information Processing (CIP), 2010Conference paper, Published paper (Refereed)
Abstract [en]

We consider spectrum sensing of OFDM signals in an AWGN channel. For the case of completely unknown noise and signal powers, we  derive a GLRT detector based on empirical second-order statistics of  the received data. The proposed GLRT detector exploits the  non-stationary correlation structure of the OFDM signal and does not  require any knowledge of the noise power or the signal power. The  GLRT detector is compared to state-of-the-art OFDM signal detectors,  and shown to improve the detection performance with 5 dB SNR in  relevant cases.

For the case of completely known noise power and signal power, we present a brief  derivation of the optimal Neyman-Pearson detector from first  principles. We compare the optimal detector to the energy  detector numerically, and show that the energy detector is  near-optimal (within 0.2 dB SNR) when the noise variance is  known. Thus, when the noise power is known, no substantial gain can  be achieved by using any other detector than the energy detector.

Place, publisher, year, edition, pages
2010.
Keyword [en]
spectrum sensing, OFDM, GLRT
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:liu:diva-54528DOI: 10.1109/CIP.2010.5604257OAI: oai:DiVA.org:liu-54528DiVA: diva2:304985
Note
Accepted for publication ©2010 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. Erik Axell and Erik G. Larsson, Optimal and Near-Optimal Spectrum Sensing of OFDM Signals in AWGN Channels, 2010, The 2nd International Workshop on Cognitive Information Processing. Available from: 2010-03-22 Created: 2010-03-22 Last updated: 2016-08-31

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Axell, ErikLarsson, Erik G.

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
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  • vancouver
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More styles
Language
  • de-DE
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  • en-US
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  • nn-NB
  • sv-SE
  • Other locale
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