练柱先, 余江, 常俊, 徐丽敏, 常凤. 一种基于特征值分解的信道估计算法[J]. 云南大学学报(自然科学版), 2013, 35(5): 616. doi: 10.7540/j.ynu.20120562
引用本文: 练柱先, 余江, 常俊, 徐丽敏, 常凤. 一种基于特征值分解的信道估计算法[J]. 云南大学学报(自然科学版), 2013, 35(5): 616. doi: 10.7540/j.ynu.20120562
LIAN Zhu-xian, YU Jiang, CHANG Jun, XU Li-min, CHANG Feng. An algorithm of channel estimation based on eigenvalue decompsition[J]. Journal of Yunnan University: Natural Sciences Edition, 2013, 35(5): 616. DOI: 10.7540/j.ynu.20120562
Citation: LIAN Zhu-xian, YU Jiang, CHANG Jun, XU Li-min, CHANG Feng. An algorithm of channel estimation based on eigenvalue decompsition[J]. Journal of Yunnan University: Natural Sciences Edition, 2013, 35(5): 616. DOI: 10.7540/j.ynu.20120562

一种基于特征值分解的信道估计算法

An algorithm of channel estimation based on eigenvalue decompsition

  • 摘要: 信道估计是OFDM系统中的一项关键技术.传统的LMMSE算法涉及到自相关矩阵的逆运算,算法复杂度较高,时间开销较大.本文提出的算法首先对信道频率响应的自相关矩阵进行降维,再进行特征值分解,避免了求解逆矩阵,算法复杂度较低.仿真实验对信噪比、均方误差、误码率性能进行了分析,结果表明提出的算法在保证了系统良好性能的基础上,有效地降低了运算的复杂度.

     

    Abstract: Channel estimation is a key technology in OFDM system.The conventional LMMSE algorithm involves solving the inverse matrix of the autocorrelation matrix,the complexity of which is relatively high,and the overhead of time is very large.The algorithm of this paper firstly reduces the dimension of the autocorrelation matrix of the channel frequency response,and then perfoms eigenvalue decomposition.The algorithm avoids the inverse operation of the matrix,and the complexity of which is much lower.Simulation experiment analysis the performance of the signal-to-noise,mean-square error and bit error rate.The result shows that the algorithm can effectively reduce the complexity of the computation on the basis of guaranteeing the good performance of the system.

     

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