信道估计技术是长期演进(LTE)核心技术之一。传统的LMMSE信道估计算法有着良好的系统性能,但其最显著的缺点就是自相关矩阵繁琐的求逆运算量大。针对这一问题,提出了基于相关带宽的两种不同的分块矩阵法。仿真结果表明,在不同的多普勒频移影响下,该算法与LS算法、SVD算法、理想LMMSE算法比较,误码率得到了较为理想的控制。
Channel estimation is one of the core technologies of Long Term Evolution(LTE).The traditional Linear Minimum Mean Square Error(LMMSE) channel estimation algorithm has good performance of the system.But its greatest fault is the trival inverse matrix.In order to solve the problem,two different partitioned matrix methods based on correlation bandwidth are proposed.Compared to Least Square(LS),LMMSE and Singular Value Decomposition(SVD),simulation results show that the improved algorithm can maintain good Bit Error Rate(BER)under the effect of different Doppler.