Performance analysis of energy detection based spectrum sensing with unknown primary signal arrival time

Jwo-Yuh Wu*, Chih Hsiang Wang, Tsang Yi Wang

*Corresponding author for this work

Research output: Contribution to journalArticle

22 Scopus citations

Abstract

Spectrum sensing in next-generation wireless cognitive systems, such as overlay femtocell networks, is typically subject to timing misalignment between the primary transmitter and the secondary receiver. In this paper, we investigate the performance of the energy detector (ED) when the arrival time of the primary signal is modeled as a uniform random variable over the observation interval. The exact formula for the detection probability is derived and corroborated via numerical simulation. To further improve the detection performance, we propose a robust ED based on the Bayesian principle. Computer simulation confirms the effectiveness of the Bayesian based solution when compared with the conventional ED.

Original languageEnglish
Article number5733454
Pages (from-to)1779-1784
Number of pages6
JournalIEEE Transactions on Communications
Volume59
Issue number7
DOIs
StatePublished - 1 Jul 2011

Keywords

  • Cognitive radio
  • energy detection
  • spectrum sensing

Fingerprint Dive into the research topics of 'Performance analysis of energy detection based spectrum sensing with unknown primary signal arrival time'. Together they form a unique fingerprint.

Cite this