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基于最大比合并空间分集判决反馈盲均衡算法 被引量:6

Decision Feedback Blind Equalization Algorithm Based on Maximal Ratio Combining Spatial Diversity
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摘要 信道的多径传播和衰落特性常在接收端引起码间干扰,严重影响了通信质量。为了减少码间干扰,提高通信质量,在分析空间分集技术和判决反馈盲均衡性能的基础上,提出了一种基于最大比合并空间分集的判决反馈盲均衡算法(MRC-DFE),该算法利用了空间分集来减少衰落的影响,利用判决反馈盲均衡器来克服码间干扰,具有收敛速度快、均方误差小的特点。计算机仿真结果,验证了该算法的有效性。 The multipath and fading channels always introduce Inter-Symbol Interference (ISI) in the receiver and affect communication quality seriously. In order to improve the communication system performance and decrease Bit Error Rate (BER), Maximal Ratio Combining spatial diversity based Decision Feedback blind equalization(MRC-DFE)was proposed on the basis of analyzing spatial diversity and decision feedback equalizer’s performance. The proposed algorithm employs spatial diversity for reducing fading effect and utilizes decision feedback equalizer to overcome ISI. So, the proposed algorithm has faster convergence speed and smaller mean square error, and its validity of the proposed algorithm is verified by computer simulation.
作者 朱婕 郭业才
出处 《系统仿真学报》 EI CAS CSCD 北大核心 2008年第11期2843-2845,2850,共4页 Journal of System Simulation
基金 全国优秀博士学位论文作者专项资助(200753)
关键词 空间分集 盲均衡 最大比合并 判决反馈 spatial diversity blind equalization maximal ratio combining decision feedback
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