Computationally Tractable Model of Energy Detection Performance over Slow Fading Channels

Hongjian Sun, David Laurenson, Cheng-Xiang Wang

Research output: Contribution to journalArticlepeer-review

Abstract / Description of output

Energy detection (ED) has been widely used for detecting unknown deterministic signals in many wireless communication applications, e.g., cognitive radio, and ultra-wideband (UWB). However, the performance analysis of ED over slow fading channels is cumbersome, because it is difficult to derive closed-form expressions for the average probability of detection involving the generalised Marcum Q-function and the log-normal distribution. In this letter, we derive an approximation of the average probability of detection over a slow fading channel by replacing the log-normal distribution with a Wald distribution. In addition, we analyze the detection performance of the ED using a square-law combining scheme over multiple independent and identically distributed slow fading channels.
Original languageEnglish
Pages (from-to)924 -926
Number of pages3
JournalIEEE Communications Letters
Volume14
Issue number10
DOIs
Publication statusPublished - 1 Oct 2010

Keywords / Materials (for Non-textual outputs)

  • Wald distribution
  • average probability of detection
  • cognitive radio
  • computationally tractable model
  • distributed slow fading channels
  • energy detection performance
  • generalised Marcum Q-function
  • log-normal distribution
  • square-law combining scheme
  • ultrawideband communication
  • wireless communication applications
  • fading channels
  • probability
  • ultra wideband communication

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