Distributed spectrum sensing with multiantenna sensors under calibration errors

Daniel Romero, Roberto Lopez-Valcarce

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Spectrum sensing design for Cognitive Radio systems is challenged by the nature of the wireless medium, which makes the detection requirements difficult to achieve by standalone sensors. To combat shadowing and fading, distributed strategies are usually proposed. However, most distributed approaches are based on the energy detector, which is not robust to noise uncertainty. This phenomenon can be overcome by multi-antenna sensors exploiting spatial independence of the noise process. We combine both ideas to develop distributed detectors for multiantenna sensors. Fusion rules are provided for sensors based on the Generalized Likelihood Ratio as well as for ad hoc detectors derived from geometric considerations. Simulation results are provided comparing the performance of the different strategies under lognormal shadowing and Ricean fading.

Original languageEnglish (US)
Title of host publication2011 IEEE 12th International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2011
Pages441-445
Number of pages5
DOIs
StatePublished - 2011
Externally publishedYes
Event2011 IEEE 12th International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2011 - San Francisco, CA, United States
Duration: Jun 26 2011Jun 29 2011

Publication series

NameIEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC

Other

Other2011 IEEE 12th International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2011
Country/TerritoryUnited States
CitySan Francisco, CA
Period6/26/116/29/11

Keywords

  • Cognitive radio
  • distributed detection
  • fading channels
  • spectrum sensing

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