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3D多输入多输出正交频分复用系统中基于奇异值分解的信道估计方法
邵玮璐, 李莉, 刘震, 唐延枝
上海师范大学 信息与机电工程学院, 上海 200234
摘要:
在3D多输入多输出正交频分复用(MIMO-OFDM)系统模型中,分析了基于导频的信道估计方案.针对线性最小均方误差方法的算法复杂度高的问题,应用奇异值分解(SVD)算法降低信道自相关矩阵的维数,以减小算法的复杂度.仿真结果表明:所提出的基于奇异值分解的信道估计算法,能够在保证误码率(BER)性能的情况下,具有更低的算法复杂度.
关键词:  3D多输入多输出正交频分复用(MIMO-OFDM)  信道估计  奇异值分解(SVD)  导频
DOI:10.3969/J.ISSN.1000-5137.2019.01.004
分类号:
基金项目:上海市自然科学基金(16ZR1424500)
Channel estimation method based on singular value decomposition in 3D MIMO-OFDM system
SHAO Weilu, LI Li, LIU Zhen, TANG Yanzhi
College of Information, Mechanical and Electrical Engineering, Shanghai Normal University, Shanghai 200234, China
Abstract:
The model of 3D multiple input multiple output and orthogonal frequency division multiplexing(MIMO-OFDM) system was introduced,and the channel estimation scheme based on pilot was analyzed.In view of the problem of high complexity of the linear least mean square error algorithm,the singular value decomposition(SVD) algorithm was proposed and applied to reduce the dimension of channel autocorrelation matrix,thus reducing computational complexity.The simulation results showed that the proposed channel estimation algorithm based on singular value decomposition could maintain the bit error rate(BER) performance with lower computational complexity.
Key words:  3D multiple input multiple output and orthogonal frequency division multiplexing(MIMO-OFDM)  channel estimation  singular value decomposition(SVD)  pilot