Energy Detection of Gaussian Signals Subject to Impulsive Noise in Generalized Fading Channels

被引：0
|
作者：
de Miranda Cardoso, Jose Vinicius [1 ,2 ]
Lira Queiroz, Wamberto Jose [1 ,2 ]
Liu, Hang [3 ]
de Alencar, Marcelo Sampaio [1 ,2 ]
机构：
[1] Univ Fed Campina Grande, Campina Grande, Brazil
[2] Inst Adv Studies Commun, Campina Grande, Brazil
[3] Catholic Univ Amer, Washington, DC 20064 USA
来源：
WIRELESS ALGORITHMS, SYSTEMS, AND APPLICATIONS, WASA 2016 | 2016年 / 9798卷
关键词：
Spectrum sensing; Energy detector; Fading; Impulsive noise; MU-DISTRIBUTION; KAPPA-MU; CONVERGENCE;
D O I：
10.1007/978-3-319-42836-9_21
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Novel, simple, and accurately approximated expressions for the probability of detection of Gaussian signals in eta-mu, kappa-mu, and alpha-mu fading channels at the output of an energy detector subject to impulsive noise (Bernoulli-Gaussian model) are presented. The generalized Gauss-Laguerre quadrature is used to approximate the probability of detection as a finite sum. Monte Carlo simulations corroborate the accuracy of the approximations. The results are further extended to cooperative detection with hard decision combining information.
引用
收藏
页码：231 / 240
页数：10
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