Spectrum sensing in time-varying channels using multiple antennas

Daniel Romero, Roberto Lopez-Valcarce

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

Abstract

The problem of detecting a Gaussian signal received with multiple antennas through a time-varying channel and corrupted by noise of unknown power is addressed by deriving the Generalized Likelihood Ratio test. The channel is described by means of a basis expansion model with deterministic unknown coefficients. Since the detection rule requires the knowledge of the Maximum Likelihood estimates of the channel and noise power, which lack closed-form expressions, an Expectation-Maximization algorithm is proposed to carry out such computation. Finally, simulations reveal that the proposed detector successfully exploits spatial correlation and time variation of the channel.

Original languageEnglish (US)
Title of host publication2013 IEEE 14th Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2013
Pages135-139
Number of pages5
DOIs
StatePublished - Oct 22 2013
Event2013 IEEE 14th Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2013 - Darmstadt, Germany
Duration: Jun 16 2013Jun 19 2013

Publication series

NameIEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC

Other

Other2013 IEEE 14th Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2013
CountryGermany
CityDarmstadt
Period6/16/136/19/13

Keywords

  • Spectrum sensing
  • cognitive radio
  • detection theory
  • time-varying channels

Fingerprint Dive into the research topics of 'Spectrum sensing in time-varying channels using multiple antennas'. Together they form a unique fingerprint.

Cite this