摘要
提出一种ELMMSE信道估计算法的简化计算方法。为简化ELMMSE信道估计算法的复杂度,首先利用信道自相关矩阵的固有特性,简化了信道自相关矩阵求解;然后利用算法中逆矩阵满足共轭对称Toeplitz特性,简化了矩阵求逆。结果表明:当OFDM子载波数为128时,提出的ELMMSE算法简化计算方法的复乘、复加次数分别减小为ELMMSE算法的5.84%和5.79%。其中,信道自相关矩阵求解的复乘、复加次数分别减少了33.14%和16.64%;矩阵求逆的复乘、复加次数均由原来的o(N3)变为o(N2)。
A Minimum Mean simplified calculation method for channel estimation is proposed based on the Equivalent Linear Square Error（ELMMSE） criterion. In order to simplify the calculation complexity of ELMMSE al- gorithm, at first, the algorithm is simplified by using the inherent property of the channel autocorrelation matrix; then, due to the inverse matrix meeting the characteristic of Herrnitian Toeplitz, the complexity of inverse matrix is simplified. Simulation results show that, compared with the complex multiplication and complex addition are reduced to contrast ELMMSE algorithms, the computing times of 5.84% and 5.79% respectively. In particular, the computing times of complex multiplication and complex addition in solving autocorrelation matrix are reduced by 33.14% and 16. 64% respectively. When solving the inverse matrix, both the computing times of complex multi- plication and complex addition are reduced from o（N^3 ） to o（N^2 ）.
出处
《科学技术与工程》
北大核心
2014年第17期210-215,共6页
Science Technology and Engineering
基金
天津市科技创新专项资金项目(10FDZDGX00400)资助
关键词
正交频分复用
信道估计
等价线性最小均方误差
信道自相关矩阵
orthogonal frequency division multiplexing （OFDM）
channel estimation
equivalent tinear
minimum mean square error（ELMMSE）
channel autocorrelation matrix
