A Low Complexity Channel Estimation Approach of LTE Downlink System
Channel estimation is critical to receiver performance in the long term evolution (LTE) system.Reference signals are interspersed with data signals among the subcarriers to aid channel estimation.Linear minimum mean square error (LMMSE) channel estimation is an efficient approach to estimate the knowledge of channel with high complexity.This paper proposed a channel estimation approach based on singular value decomposition (SVD) for downlink channel in LTE system.Compared to the conventional algorithm,the proposed approach investigates the channel autocorrelation matrix respectively and substitutes it by small submatrices to reduce the complexity.The simulation result demonstrates that the complexity is significantly reduced with negligible performance degradation,so it could be a candidate of the channel estimation algorithm for downlink channel estimation in LTE system.
LTE Channel Estimation LS LMMSE SVD
SubinWang Chunjing Hu Tao Peng Wenbo Wang
Wireless Signal Processing and Network Lab, Key laboratory of Universal Wireless Communication Ministry of Education, Beijing University of Posts & Telecommunications
国际会议
2012 IEEE 14th International Conference on Communication Technology(2012年第十四届通信技术国际会议(ICCT 2012))
成都
英文
192-196
2012-11-09(万方平台首次上网日期,不代表论文的发表时间)