| 一种基于M准则的低复杂度空间调制信号检测算法 |
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| 引用本文： | 李哲,杨小波.一种基于M准则的低复杂度空间调制信号检测算法[J].北京联合大学学报(自然科学版),2014,28(4):40-43. |
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| 作者姓名： | 李哲 杨小波 |
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| 作者单位： | 重庆邮电大学通信学院,重庆,400060;重庆邮电大学通信学院,重庆,400060 |
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| 摘 要： | 针对空间调制技术提出一种基于M准则的次最优检测算法（M-ML）,该算法通过缩小最大似然检测中发送符号搜索空间来降低复杂度.仿真结果显示,在发送天线相关性较高的场景下,M-ML算法可以获得与最大似然检测相当的误码率性能.同时,通过将M-ML算法和最大似然算法进行复杂度比较发现,随着调制阶数与发送天线数的提升,M-ML算法复杂度将不断降低.
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| 关 键 词： | 空间调制技术 最大似然检测 M准则 多输入多输出 相关信道 |
A Low Complexity Detection Algorithm for Spatial Modulation Based on M-Algorithm |
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| LI Zhe,YANG Xiao-bo.A Low Complexity Detection Algorithm for Spatial Modulation Based on M-Algorithm[J].Journal of Beijing Union University,2014,28(4):40-43. |
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| Authors: | LI Zhe YANG Xiao-bo |
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| Institution: | ( College of Communications, Chongqing University of Posts and Telecommunications,Chongqing 400060, China) |
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| Abstract: | Proposed a sub-optimal detection algorithm （M-ML） based on M-Algorithm against spatial modulation technique. The algorithm reduced the complexity by reducing the transmit symbol search space. Simulation results show that in high correlation transmitting antenna scene, M-ML algorithm can obtain equivalent BER performance with maximum likelihood detection. Meanwhile, the M-ML and ML algorithm complexity comparison show that with the addition of the modulation order and the number of transmission antennas, M-ML algorithm will continue to reduce the complexity. Finally, this paper presents the best value of M. |
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| Keywords: | Spatial modulation techniques Maximum likelihood detection M-Algorithm MIM0 Correlated channel |
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