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机构地区:[1]南京信息工程大学电子与信息工程系,南京210044
出 处:《计算机系统应用》2014年第4期149-153,共5页Computer Systems & Applications
摘 要:LTE系统采用MIMO作为核心技术,需要良好的信号检测算法在接收端将发射信号尽可能无误地检测出来.为了提高复杂环境中信号检测的性能,给出基于信道矩阵分解的格点减少预处理算法,可在一定程度上降低线性处理过程对噪声的放大.现有基于格点减少技术的检测算法,虽然可以有效地提高MIMO系统的误比特率性能,但其检测性能与最优的ML算法相比仍然存在差距.笔者在ML遍历搜索的思想和V-BLAST检测算法基础上结合格点减少技术,提出一种基于格点减少辅助分层检测算法.仿真结果表明,在下行LTE系统中采用改进的格点减少辅助分层检测算法能够显著提高M IMO系统的误码性能,检测性能近似最大似然算法.LTE system needs a good algorithm of signal detection in the receiver to detect the emissive signal as correct as possible because of its core technology MIMO. In order to improve the performance of signal detection in complex environment and reduce the linear amplification of noise process, this letter adopted lattice-reduction pretreatment algorithm, which based on the decomposition of the channel matrix. However, these detection algorithms have large SNR gap compared with optimal ML algorithm. In this paper, we based on the lattice reduction technologies and ideas of ML and V-BLAST detection algorithm, proposed a lattice reduction aided layered detection algorithm.The simulation results show that, improved algorithm can significantly improve the ber performance in the downlink LTE system. The detection performance approximate ML algorithm.
关 键 词:长期演进 多输入多输出 最大似然检测 格点减少 V-BLAST检测
分 类 号:TN929.5[电子电信—通信与信息系统]
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