A Channel Estimation Method Based on the Improved LMS Algorithm for MIMO-OFDM Systems

被引：0
作者：
Zhang, Zhenfeng [1 ]
Xiao, Limin [2 ,3 ]
Su, Xin [2 ,3 ]
Zeng, Jie [2 ,3 ]
Xu, Xibin [2 ,3 ]
机构：
[1] Chongqing Univ Posts & Telecommun, Broadband Wireless Access Lab, Chongqing, Peoples R China
[2] Tsinghua Univ, Tsinghua Natl Lab Informat Sci, Beijing, Peoples R China
[3] Tsinghua Univ, Tsinghua Natl Lab Informat Sci & Technol, Res Inst Informat Technol, Beijing, Peoples R China
来源：
2018 12TH INTERNATIONAL SYMPOSIUM ON MEDICAL INFORMATION AND COMMUNICATION TECHNOLOGY (ISMICT) | 2018年
关键词：
MIMO-OFDM; channel estimation; the least mean square algorithm; variable step size; NLMS;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The least mean square (LMS) algorithm is a kind of typical adaptive filter algorithms. The algorithm of channel estimation algorithm based on LMS is no need to know the characteristics of channel and noise statistics, which make full use of channel correlation between front and back to reduce the influence of noise on channel estimation performance. In this paper, the LMS algorithm has been improved under the MIMO-OFDM systems. Then, a revised method for variable step size has been put forward, which accelerates the rate of convergence to improve channel estimation performance preferably. The simulation results show that the algorithm proposed in this paper not only has the fastest convergence compared with LMS and NLMS algorithm, but also has a better channel estimation(CE) performance than other estimation algorithms.
引用
收藏
页码：222 / 226
页数：5
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