期刊文献+

On the Performance of the Energy Detector Subject to Impulsive Noise in κ-μ, α-μ, and η-μ Fading Channels

On the Performance of the Energy Detector Subject to Impulsive Noise in κ-μ, α-μ, and η-μ Fading Channels
原文传递
导出
摘要 This paper presents a unified theoretical analysis of the energy detection of Gaussian and M-PSK signals in κ-μ,α-μ,and η-μ fading channels at the output of an energy detector subject to impulsive noise(Bernoulli-Gaussian model). As a result, novel, simple, and accurately approximated expressions for the probability of detection are derived. More precisely, the generalized Gauss-Laguerre quadrature is applied to approximate the probability of detection as a simple finite sum. Monte Carlo simulations corroborate the accuracy and precision of the derived approximations. The results are further extended to cooperative energy detection with hard decision combining information. This paper presents a unified theoretical analysis of the energy detection of Gaussian and M-PSK signals in κ-μ,α-μ,and η-μ fading channels at the output of an energy detector subject to impulsive noise(Bernoulli-Gaussian model). As a result, novel, simple, and accurately approximated expressions for the probability of detection are derived. More precisely, the generalized Gauss-Laguerre quadrature is applied to approximate the probability of detection as a simple finite sum. Monte Carlo simulations corroborate the accuracy and precision of the derived approximations. The results are further extended to cooperative energy detection with hard decision combining information.
出处 《Tsinghua Science and Technology》 SCIE EI CAS CSCD 2017年第4期360-367,共8页 清华大学学报(自然科学版(英文版)
基金 the Institute for Advanced Studies in Communications (Iecom) for supporting this research funding from the Brazilian Ministry of Education through the Brazilian Scientific Mobility Program CAPES-grant 88888.037310/2013-00
关键词 spectrum sensing energy detector fading channel impulsive noise spectrum sensing energy detector fading channel impulsive noise
  • 相关文献

参考文献1

二级参考文献32

  • 1S. Haykin, "Cognitive radio: brain-empowered wireless communications," IEEE J. SeL Areas Commun, vol. 23, no. 2, pp. 201-220, Feb. 2005.
  • 2T. Yucek and H. Arslan, "A survey of spectrum sensing algorithms for cognitive radio applica- tions," IEEE Commun. Surveys & Tutorials, vol. 11, no. 1, pp. 116-130, First Quarter 2009.
  • 3S. Kapoor, S. Rao, and G. Singh, "Opportunistic spectrum sensing by employing matched fil- ter in cognitive radio network," in Proc. of IEEE CSNT, Katra, Jammu, June 2011, pp. 580-583.
  • 4D. Cabric, S. M. Mishra, D. Willkomm, R. W. Brodersen, and A. Wolisz, "A cognitive radio approach for useage of virtual unlicensed spec- trum," in Proc. 14th 1ST Mobile and wireless Commun. Summit, June 2005.
  • 5L. Ma, ~. Li, and A. Demir, "Matched filtering assisted energy detection for sensing weak primary user signals," in Proc. of IEEE ICASSP, Kyoto, Mar. 2012, pp. 3149-3152.
  • 6A. H. Gholamipour, A. Gorcin, H. Celebi, and B. U. Toreyin, "Reconfigurable filter implementa- tion of a matched-filter based spectrum sensor for cognitive radio systems," in Proc. of IEEE IS- CAS, Rio de Janeiro, May 2011, pp. 2457-2460.
  • 7Z. Zhang, Q. Yang, L. Wang, and X. Zhao, "A novel hybrid matched filter structure for IEEE 802.22 standard," in proc. oflEEEAPCCAS, Kuala Lumpur, Dec. 2010, pp. 652-655.
  • 8C. Jiang, Y. Li, W. Bai, Y. Yang, and J. Hu. "Statisti- cal matched filter based robust spectrum sens- ing in noise uncertainty environment," in Proc. Int. Conf. Commun. Tech, Chengdu, Nov. 2012, PP. 1209-1213.
  • 9G. Yu and C. Long, "A novel energy detection scheme to improve detection sensitivity in cog- nitive radio systems," in Proc. WiCOM, Wuhan, Sep. 2011, pp. 1-4.
  • 10W. Ejaz, U. Hasan, S. Aslam, and S. H. Kim, "Fuzzy logic based spectrum sensing for cognitive ra- dio networks," in Proc, of IEEE NGMAST, Cardiff, Sep. 2011, pp. 185-189.

共引文献11

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部