%0 Journal Article
%T Cognitive radio decision engine based on binary particle swarm optimization<br>基于二进制粒子群算法的认知无线电决策引擎
%A Zhao Zhi-Jin
%A Xu Shi-Yu
%A Zheng Shi-Lian
%A Yang Xiao-Niu
%A <br>赵知劲
%A 徐世宇
%A 郑仕链
%A 杨小牛
%J 物理学报
%D 2009
%I 
%X Cognitive radio decision engine based on particle swarm optimization is proposed. A population adaptive particle swarm optimization is also proposed to improve the convergence rate. Particle swarm optimization and population adaptive particle swarm optimization are used to adapt radio parameters respectively, and multi-carrier system is used for the performance analysis. Results show that cognitive decision engine based on binary particle swarm optimization has better convergence, precision and stability than the classic genetic algorithm, and population adaptive particle swarm optimization can further improve the performance at the initial stage of the search to meet real time requirement of cognitive radio.
%K cognitive radio
%K particle swarm optimization
%K genetic algorithm
%K cognitive decision engine<br>认知无线电，
%K 粒子群算法，
%K 遗传算法，
%K 认知决策引擎
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=6E709DC38FA1D09A4B578DD0906875B5B44D4D294832BB8E&cid=47EA7CFDDEBB28E0&jid=29DF2CB55EF687E7EFA80DFD4B978260&aid=E74BAF566AF1D6A1CC67E59ED909B143&yid=DE12191FBD62783C&vid=9FFCC7AF50CAEBF7&iid=DF92D298D3FF1E6E&sid=0E4BF1D893682B5A&eid=87C5E908DEBA6100&journal_id=1000-3290&journal_name=物理学报&referenced_num=1&reference_num=0