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基于改进混合蛙跳算法的认知无线电协作频谱感知

郑仕链 楼才义 杨小牛

基于改进混合蛙跳算法的认知无线电协作频谱感知

郑仕链, 楼才义, 杨小牛
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  • 提出了一种改进的混合蛙跳算法(shuffled frog leaping algorithm,SFLA),并提出了基于改进SFLA的认知无线电协作频谱感知方法,通过仿真对改进SFLA算法性能与传统SFLA算法性能进行了比较,并对本文提出的基于改进SFLA的协作感知方法与已有的基于修正偏差因子(modified deflection coefficient,MDC)的协作感知方法性能进行了比较.结果表明改进SFLA算法性能优于传统SFLA;基于改进SFLA的协作感知方法比MDC方法能获得更大的检测概率,验证
    • 基金项目: 国家自然科学基金(批准号:60672038)资助的课题.
    [1]

    [1]Haykin S 2005 IEEE J. Sel. Area. Comm. 23 201

    [2]

    [2]Zhao Z J, Zheng S L, Shang J N, Kong X Z 2007 Acta Phys. Sin. 56 6760 (in Chinese) [赵知劲、郑仕链、尚俊娜、孔宪正2007 物理学报 56 6760]

    [3]

    [3]Zhao Z J, Peng Z, Zheng S L, Xu S Y, Lou C Y, Yang X N 2009 Acta Phys. Sin. 58 1358 (in Chinese) [赵知劲、彭振、郑仕链、徐世宇、楼才义、杨小牛 2009 物理学报 58 1358]

    [4]

    [4]Ghasemi A, Sousa E S 2008 IEEE Commun. Mag. 46 32

    [5]

    [5]Cabric D, Mishra S M, Brodersen R W 2004 The 38th Asilomar Conference on Signals, Systems and Computers Monterey, USA, November 2004 p772

    [6]

    [6]Hur Y, Park J, Woo W, Lim K, Lee C H, Kim H S, Laskar J 2006 IEEE International Symposium on Circuits and Systems Island of Kos, Greece, June 2006 p4090

    [7]

    [7]Ghasemi A, Sousa E S 2005 IEEE Symposium on New Frontiers in Dynamic Spectrum Access Networks Maryland, USA, November 2005 p131

    [8]

    [8]Peng Q H, Zeng K, Wang J, Li S Q 2006 The 17th Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications Helsinki, Finland, September 2006 p1

    [9]

    [9]Vistotsky E, Kuffner S, Peterson R 2005 IEEE Symposium on New Frontiers in Dynamic Spectrum Access Networks Maryland, USA, November 2005 p338

    [10]

    ]Chen B, Willett P K 2005 IEEE Trans. Inform. Theory 51 693

    [11]

    ]Quan Z, Cui S, Sayed A H 2008 IEEE J. Sel. Top. Signal Proces. 2 28

    [12]

    ]Eusuff M M, Lansey K E 2003 Water Resour. Planning Manag. 129 210

    [13]

    ]Elbeltagi E, Hegazy T, Grierson D 2005 Adv. Eng. Inform. 19 43

    [14]

    ]Eusuff M, Lansey K, Pasha F 2006 Eng. Optimiz. 38 129

  • [1]

    [1]Haykin S 2005 IEEE J. Sel. Area. Comm. 23 201

    [2]

    [2]Zhao Z J, Zheng S L, Shang J N, Kong X Z 2007 Acta Phys. Sin. 56 6760 (in Chinese) [赵知劲、郑仕链、尚俊娜、孔宪正2007 物理学报 56 6760]

    [3]

    [3]Zhao Z J, Peng Z, Zheng S L, Xu S Y, Lou C Y, Yang X N 2009 Acta Phys. Sin. 58 1358 (in Chinese) [赵知劲、彭振、郑仕链、徐世宇、楼才义、杨小牛 2009 物理学报 58 1358]

    [4]

    [4]Ghasemi A, Sousa E S 2008 IEEE Commun. Mag. 46 32

    [5]

    [5]Cabric D, Mishra S M, Brodersen R W 2004 The 38th Asilomar Conference on Signals, Systems and Computers Monterey, USA, November 2004 p772

    [6]

    [6]Hur Y, Park J, Woo W, Lim K, Lee C H, Kim H S, Laskar J 2006 IEEE International Symposium on Circuits and Systems Island of Kos, Greece, June 2006 p4090

    [7]

    [7]Ghasemi A, Sousa E S 2005 IEEE Symposium on New Frontiers in Dynamic Spectrum Access Networks Maryland, USA, November 2005 p131

    [8]

    [8]Peng Q H, Zeng K, Wang J, Li S Q 2006 The 17th Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications Helsinki, Finland, September 2006 p1

    [9]

    [9]Vistotsky E, Kuffner S, Peterson R 2005 IEEE Symposium on New Frontiers in Dynamic Spectrum Access Networks Maryland, USA, November 2005 p338

    [10]

    ]Chen B, Willett P K 2005 IEEE Trans. Inform. Theory 51 693

    [11]

    ]Quan Z, Cui S, Sayed A H 2008 IEEE J. Sel. Top. Signal Proces. 2 28

    [12]

    ]Eusuff M M, Lansey K E 2003 Water Resour. Planning Manag. 129 210

    [13]

    ]Elbeltagi E, Hegazy T, Grierson D 2005 Adv. Eng. Inform. 19 43

    [14]

    ]Eusuff M, Lansey K, Pasha F 2006 Eng. Optimiz. 38 129

  • 引用本文:
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  • 文章访问数:  3758
  • PDF下载量:  1134
  • 被引次数: 0
出版历程
  • 收稿日期:  2009-05-07
  • 修回日期:  2009-08-12
  • 刊出日期:  2010-05-15

基于改进混合蛙跳算法的认知无线电协作频谱感知

  • 1. 通信系统信息控制技术国家级重点实验室,嘉兴 314033;中国电子科技集团公司第三十六研究所,嘉兴 314033
    基金项目: 

    国家自然科学基金(批准号:60672038)资助的课题.

摘要: 提出了一种改进的混合蛙跳算法(shuffled frog leaping algorithm,SFLA),并提出了基于改进SFLA的认知无线电协作频谱感知方法,通过仿真对改进SFLA算法性能与传统SFLA算法性能进行了比较,并对本文提出的基于改进SFLA的协作感知方法与已有的基于修正偏差因子(modified deflection coefficient,MDC)的协作感知方法性能进行了比较.结果表明改进SFLA算法性能优于传统SFLA;基于改进SFLA的协作感知方法比MDC方法能获得更大的检测概率,验证

English Abstract

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