| 基于球形检测的MIMO均衡技术 |
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| 引用本文： | 黄晶晶,宋高俊,李双飞. 基于球形检测的MIMO均衡技术[J]. 微计算机信息, 2010, 0(6) |
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| 作者姓名： | 黄晶晶 宋高俊 李双飞 |
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| 作者单位： | 南昌航空大学电子信息工程学院; |
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| 摘 要： | 均衡技术在提高MIMO频率选择性衰落信道传输质量的同时产生了极大的接收信号检测复杂度。以球形译码算法(SDA)为基础提出的多符号判决反馈球译码算法较好地解决了此问题。假设被检测的某个矢量信号外的其它信号已知,对接收信号表达式进行变换再运用SDA。理论分析和仿真结果表明,该方法可以用较少的计算量获得接近最大似然(ML)检测的性能。
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| 关 键 词： | 多输入多输出 均衡 球译码 多符号判决反馈球译码 最大似然检测 |
MIMO Equalization Based on Sphere Detection |
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| HUANG Jing-jing SONG Gao-jun LI Shuang-fei. MIMO Equalization Based on Sphere Detection[J]. Control & Automation, 2010, 0(6) |
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| Authors: | HUANG Jing-jing SONG Gao-jun LI Shuang-fei |
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| Affiliation: | HUANG Jing-jing SONG Gao-jun LI Shuang-fei(School of Electronic , Information Engineering,Nanchang HANGKONG University,Nanchang Jiangxi 330063,China) |
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| Abstract: | Equalization improves the quality of MIMO frequency-selective channels as well as brings high complexity of the receiving signal detection.A multiple-symbol decision-feedback sphere decoding algorithm is proposed based on the SDA.We assume that other signals except the detected one are known,then use SDA after making receiving signal equality transformation.Theoretical analysis and emulation results show that the proposed method is computationally efficient while close to the quality of ML detection. |
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| Keywords: | MIMO equalization sphere decoding multiple-symbol decision-feedback sphere decoding maximum likelihood detection |
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