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用于认知无线电协作频谱感知的混合蛙跳算法群体初始化技术

郑仕链† 杨小牛

物理学报Issue(7):492-497,6.
物理学报Issue(7):492-497,6.DOI:10.7498/aps.62.078405

用于认知无线电协作频谱感知的混合蛙跳算法群体初始化技术

Swarm initialization of shuffled frog leaping algorithm for cooperative spectrum sensing in cognitive radio∗

郑仕链† 1杨小牛2

作者信息

  • 1. 西安电子科技大学通信工程学院,西安 710071
  • 2. 通信信息控制和安全技术重点实验室,嘉兴 314033
  • 折叠

摘要

Abstract

A swarm initialization method is proposed for modified shuffled frog leaping algorithm (SFLA) for linear combination cooperative spectrum sensing in cognitive radio. The solution obtained by modified deflection coefficient optimization is included in the initial swarm of SFLA, thus improving the performance of the algorithm at the early stage of the search. Simulations show that compared with the traditional swarm initialization technique, the proposed swarm initialization can obtain expected solutions faster, which means that the proposed technique can save computation time and is more suitable for real time applications.

关键词

认知无线电/频谱感知/混合蛙跳算法/群体初始化

Key words

cognitive radio/spectrum sensing/shuffled frog leaping algorithm/swarm initialization

引用本文复制引用

郑仕链†,杨小牛..用于认知无线电协作频谱感知的混合蛙跳算法群体初始化技术[J].物理学报,2013,(7):492-497,6.

基金项目

中国工程物理研究院基金(批准号:2011B0402009)资助课题 (批准号:2011B0402009)

物理学报

OA北大核心CSCDCSTPCD

1000-3290

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