| 基于二进制量子粒子群算法的认知无线电决策引擎 |
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| 引用本文： | 张静,周正,高万鑫,石磊,唐亮.基于二进制量子粒子群算法的认知无线电决策引擎[J].仪器仪表学报,2011,32(2). |
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| 作者姓名： | 张静 周正 高万鑫 石磊 唐亮 |
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| 作者单位： | 北京邮电大学信息与通信工程学院,北京,100876 |
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| 基金项目： | 国家自然科学基金，国家863计划，国家科技重大专项 |
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| 摘 要： | 认知无线电决策引擎的设计是认知系统中的一项关键技术,其中一项功能是根据环境改变,利用多目标优化策略,优化传输参数,在不同的通信环境下进行决策.为了适应认知无线电通信系统中环境复杂多变的特点.给出了一种基于二进制具有量子行为的粒子群算法的认知无线电决策方法,因为改进算法是基于量子理论,具备非线性和不确定性的特性,所以在寻优效果上具备明显的优势.在多载波系统上进行仿真,实验证明,相对于传统的认知引擎寻优算法,该算法具有收敛速度快、稳定性好、平均适应度值高的特点,能够很好地满足认知无线电决策引擎中对多目标优化决策的需要.
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| 关 键 词： | 认知无线电决策引擎 粒子群优化 遗传算法 正交频分多路 |
Cognitive radio decision engine based on binary quantum particle swarm optimization |
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| Zhang Jing,Zhou Zheng,Gao Wanxin,Shi Lei,Tang Liang.Cognitive radio decision engine based on binary quantum particle swarm optimization[J].Chinese Journal of Scientific Instrument,2011,32(2). |
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| Authors: | Zhang Jing Zhou Zheng Gao Wanxin Shi Lei Tang Liang |
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| Affiliation: | Zhang Jing,Zhou Zheng,Gao Wanxin,Shi Lei,Tang Liang(School of Information and Communication Engineering,Beijing University of Posts andTelecommunications,Beijing 100876,China) |
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| Abstract: | Cognitive radio decision engine design is a key technology in cognitive communication system.One of its functions is optimizing transmission parameters according to environment change and obtaining desired communication performance using multi-objective optimization algorithm.In this paper,we analyze the cognitive radio decision engine based on OFDM system and introduce a binary quantum-behaved particle swarm optimization algorithm(BQPSO),which has stronger optimal searching ability and faster convergence s... |
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| Keywords: | cognitive radio decision engine particle swarm optimization genetic algorithm OFDM |
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