基于改进群搜索优化算法的认知无线电协作频谱感知
Cooperative cognitive radio spectrum sensing based on improved group search optimizer
江辉 1陈飞飞 1杜文峰2
作者信息
- 1. 深圳大学光电工程学院,广东深圳518060
- 2. 深圳大学计算机与软件学院,广东深圳518060
- 折叠
摘要
提出了一种基于改进群搜索优化的认知无线电协作频谱感知方法.用改进的群搜索优化算法求解线性协作感知模型中的权重向量,并将本文方法与基于单节点感知、选择合并、等增益合并和MDC的频谱感知方法进行了比较,仿真结果表明基于改进群搜索优化算法的协作频谱感知较传统的群搜索优化算法具有更好的收敛性,可获得更高的检测概率,且检测性能随感知用户数的增加而提高、随噪声环境的恶化而降低.仿真结果验证了本文方法的优越性.
Abstract
This paper proposes a method for cognitive radio (CR) spectrum sensing based on improved group search optimizer (GSO).The improved GSO is used to get the weight vector in linear cooperation model.And it is compared with the four methods of Single CR method,Selection combining method (SC),Equal gain combining method (EGC) and Modified deflection coefficient method (MDC).Simulation results show that the improved GSO is better in convergence than traditional group search optimizer.It can obtain better detection probability than the four methods.The detection performance becomes higher with the increase of CR users and becomes lower under the worse of noise condition.
关键词
群搜索优化算法/认知无线电/频谱感知/能量检测Key words
group search optimizer/cognitive radio/spectrum sensing/energy detection引用本文复制引用
基金项目
国家自然科学基金(61003271)
深圳市基础研究项目资助(JC201005280427A)
出版年
2013
NETL
NSTL
维普
万方数据