| 基于粒子群优化的MIMO系统判决反馈均衡研究 |
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| 引用本文： | 刘彦萍,杨铁军,邓高峰.基于粒子群优化的MIMO系统判决反馈均衡研究[J].微电子学,2009,39(6). |
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| 作者姓名： | 刘彦萍 杨铁军 邓高峰 |
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| 作者单位： | 河南工业大学,信息科学与工程学院,河南,郑州,450001 |
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| 基金项目： | 河南省基础与前沿计划资助项目，河南省教育厅自然科学基金 |
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| 摘 要： | 为了更好地消除多输入多输出(MIMO)系统中的码间干扰(ISI),提出了一种基于粒子群优化(PSO)的判决反馈均衡(DFE)算法;将该算法与基于最小均方(LMS)算法的判决反馈均衡进行了比较.仿真结果表明,PSO DFE的误码率性能明显优于LMS DFE,且收敛速度快.
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| 关 键 词： | 多输入多输出 码间干扰 粒子群优化算法 判决反馈均衡 最小均方算法 |
Study of MIMO System Decision Feedback Equalization Based on PSO Algorithm |
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| LIU Yanping,YANG Tiejun,DENG Gaofeng.Study of MIMO System Decision Feedback Equalization Based on PSO Algorithm[J].Microelectronics,2009,39(6). |
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| Authors: | LIU Yanping YANG Tiejun DENG Gaofeng |
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| Abstract: | A decision feedback equalization (DFE) algorithm based on particle swarm optimization (PSO) was proposed to eliminate intersymbol interference (ISI) in MIMO system.Simulation results showed that PSO-based DFE had a better bit-error-rate (BER) performance and faster convergence, compared with DFE algorithm based on least mean square LMS method. |
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| Keywords: | Multiple-Input Multiple-Output(MIMO) Intersymbol Interference(ISI) Particle Swarm Optimization (PSO) algorithm Decision Feedback Equalization (DFE) Least Mean Square(LMS) algorithm |
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