Title :
Computationally Tractable Model of Energy Detection Performance over Slow Fading Channels
Author :
Sun, Hongjian ; Laurenson, David I. ; Wang, Cheng-Xiang
Author_Institution :
Inst. for Digital Commun., Univ. of Edinburgh, Edinburgh, UK
fDate :
10/1/2010 12:00:00 AM
Abstract :
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.
Keywords :
cognitive radio; fading channels; probability; ultra wideband communication; 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; Cognitive radio; Fading; Gaussian distribution; Log-normal distribution; Receivers; Signal to noise ratio; Energy detection; UWB; Wald distribution; cognitive radio; slow fading;
Journal_Title :
Communications Letters, IEEE
DOI :
10.1109/LCOMM.2010.090710.100934