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.
Channel estimation is a key technology in OFDM system. The conventional LMMSE algorithm in- volves solving the inverse matrix of the autocorrelation matrix, the complexity of which is relatively high, and the overhead of time is very largel The algorithm of this paper firstly reduces the dimension of the autocorrelation ma- trix of the channel frequency response, and then perfoms eigenvalue decomposition. The algorithm avoids the in- verse operation of the matrix, and the complexity of which is much lower. Simulation experiment analysis the per- forrnance 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 sys- tem.
出处
《云南大学学报（自然科学版）》
CAS
CSCD
北大核心
2013年第5期616-620,共5页
Journal of Yunnan University(Natural Sciences Edition)
基金
国家自然科学基金(61162004)
云南大学校基金(2011YB19)
关键词
电力线通信
线性最小均方误差
主分量分析法
降维变换
特征值分解
power line communication
linear minimum mean square error
principal component analysismethod
dimension reduction transformation
eigenvalue decomposition
