一种低复杂度高性能的MIMO系统自适应检测算法  

Low-complexity yet high-performance adaptive detection algorithm for MIMO systems

作　　者：李玲香[1] 杨斌[2] 吴大鹏[3] 

机构地区：[1]湖南科技学院计算机与通信工程系,湖南永州425199 [2]汕头大学工学院,广东汕头515063 [3]重庆邮电大学通信与信息学院,重庆400065

出　　处：《计算机工程与应用》2015年第3期98-102,共5页Computer Engineering and Applications

基　　金：国家自然科学基金(No.61371097);湖南省教育厅科技研究项目(No.11C0599,No.11C0598)

摘　　要：如何克服发射信号的重叠和码间干扰是MIMO系统信号检测技术面临的关键问题。信号检测算法的性能优劣是影响MIMO技术能否真正适于实际应用的关键因素。结合MLD算法高性能和MMSE-SIC算法低复杂的优点,对Hybrid算法进行了改进,提出了一种基于信道最大/最小特征值的自适应混合检测算法。该算法重新定义了自适应系数,并通过信道矩阵特征值的特性,自适应控制三种子混合算法检测数据流时的百分比,以达到更高的检测效率。仿真结果表明:无论信道在何种复杂环境下,该算法具有与MLD算法几乎相同的误码性能,计算复杂度也有很大的改善。How to overcome the overlap and inter-signal inteference between transmitted signals is the key issue to be addressed by signal detection technique of MIMO systems. The performance of signal detection algorithms is the key factor determining if MIMO technology can be of practical application. Combining the high performance of MLD algorithm and the low computational complexity of MMSE-SIC algorithm, this paper proposes an improved hybrid adaptive detection algorithm based on the channel＇s maximum/minimum eigenvalues. By redefining the adaptive coefficients and with the characteristics of the channel＇s matrix eigenvalues, the algorithm can adaptively control the percentage of data stream detection by three sub-hybrid-algorithms, to achieve higher detection efficiency. The simulation results show that, with greatly improved computational complexity, the algorithm yields almost the same bit error ratio as that of the MLD algorithm, for signal channel in complex environments.

关 键 词：多输入多输出(MIMO) 最大似然检测 最小均方误差的串行干扰消除检测 

分 类 号：TN911.72[电子电信—通信与信息系统]