Spectrum Sensing Using Energy Detectors with Performance Computation Capabilities

Luca Rugini, Paolo Banelli, G. Leus

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

2 Citations (Scopus)
13 Downloads (Pure)

Abstract

We focus on the performance of the energy detector for cognitive radio applications. Our aim is to incorporate, into the energy detector, low-complexity algorithms that compute the performance of the detector itself. The main parameters of interest are the probability of detection and the required number of samples. Since the exact performance analysis involves complicated functions of two variables, such as the regularized lower incomplete Gamma function, we introduce new low-complexity approximations based on algebraic transformations of the one-dimensional Gaussian Q-function. The numerical comparison of the proposed approximations with the exact analysis highlights the good accuracy of the low-complexity computation approach.
Original languageEnglish
Title of host publication2016 24th European Signal Processing Conference, EUSIPCO 2016
Place of PublicationPiscataway, NJ
PublisherIEEE
Pages1608-1612
Number of pages5
ISBN (Electronic)978-0-9928-6265-7
ISBN (Print)978-1-5090-1891-8
DOIs
Publication statusPublished - 1 Dec 2016
EventEUSIPCO 2016: 24th European Signal Processing Conference - Budapest, Hungary
Duration: 29 Aug 20162 Sep 2016
Conference number: 24
http://www.eusipco2016.org/

Conference

ConferenceEUSIPCO 2016
Abbreviated titleEUSIPCO
CountryHungary
CityBudapest
Period29/08/162/09/16
Internet address

Keywords

  • Random variables
  • Gaussian approximation
  • Signal to noise ratio
  • Detectors
  • Performance evaluation
  • Europe

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