| SIMO信道组合优化递推序列检测算法 |
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| 引用本文： | 王俊,张志涌.SIMO信道组合优化递推序列检测算法[J].南京邮电大学学报(自然科学版),2005,25(1):9-12. |
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| 作者姓名： | 王俊 张志涌 |
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| 作者单位： | 南京邮电学院,信息工程系,江苏,南京,210003 |
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| 基金项目： | 国家自然科学基金(60172058)资助项目 |
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| 摘 要： | 传统的盲均衡算法主要基于高阶统计量(HOS)法或信道输出过采样的二阶统计量 (SOS)算法,而这些算法不能实际应用于时变环境。与现有的自适应均衡LMS算法、RLS算法不同,提出了一种基于有限字符集信息的组合递推算法,实现单输入多输出 (SIMO)信道盲序列检测。仿真表明:该算法具有较快的收敛速度和较低的稳态误码。
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| 关 键 词： | 盲均衡 盲检测 单输入多输出信道 |
| 文章编号： | 1000-1972(2005)01-0009-04 |
| 修稿时间： | 2004年2月20日 |
A Recursive Approach of Combined Optimization to Sequence Detection of SIMO Channels |
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| WANG Jun,ZHANG Zhi-yong.A Recursive Approach of Combined Optimization to Sequence Detection of SIMO Channels[J].Journal of Nanjing University of Posts and Telecommunications,2005,25(1):9-12. |
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| Authors: | WANG Jun ZHANG Zhi-yong |
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| Institution: | WANG Jun,ZHANG Zhi-yong Department of Electronic Engineering,Nanjing University of Posts and Telecommunications,Nanjing 210003,China |
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| Abstract: | Conventional blind equalization algorithms are based on high-order statistics or on the over-sampled channel output, but these algorithms couldn't be practically applied in time-varying environment. Different from present adaptive equalization algorithms based on LMS and RLS, this paper proposes a new recursive algorithm of combined optimization to blindly detect the sequence of single-input multiple-output (SIMO) channels. This algorithm is based on the information of finite alphabet. Simulation results show that this approach delivers rapid convergence and low steady-state error. |
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| Keywords: | Blind equalization Blind identification SIMO channels |
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