Cholesky-decompositon-based co-channel interference suppression method in MIMO-OFDM systems

被引：0

作者：

Cao, Dun ^{[1
,2
]}

Meng, Xin ^{[1
]}

Jiang, Bin ^{[1
]}

Gao, Xiqi ^{[1
]}

You, Xiaohu ^{[1
]}

机构：

[1] National Mobile Communications Research Laboratory, Southeast University, Nanjing

[2] School of Computer and Communication Engineering, Changsha University of Science and Technology, Changsha

来源：

Dongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Southeast University (Natural Science Edition) | 2015年 / 45卷 / 01期

关键词：

Channel estimation; Co-channel interference; Interference covariance matrix; Multiple-input multiple-output (MIMO); Orthogonal frequency division multiplexing (OFDM);

D O I：

10.3969/j.issn.1001-0505.2015.01.001

中图分类号：

学科分类号：

摘要：

For multiple-input multiple-output and orthogonal frequency division multiplexing (MIMO-OFDM) systems, a method combining the channel matrix with the interference covariance matrix (ICM) is developed to suppress co-channel interference. First, the initial estimations of the channel matrix and the ICM are obtained by the least-squares method and the residual error method. Then, the ICM estimation is improved by the Cholesky-decomposition-based method. Finally, the channel matrix estimation is updated by using the improved ICM estimation. In this method, all available knowledge in frequency domain and time domain are exploited to improve the estimation performance and suppress co-channel interference. The simulation results demonstrate that the proposed estimation has over 2 dB better performance than other realizable non-iterative estimations in terms of the mean squared error (MSE) of channel frequency respond (CFR). The larger the signal to interference and noise ratio (SINR), the better the performance improvement in the bit error rate (BER). And with the increase of the number of antennas, performance gain also increases. ©, 2015, Southeast University. All right reserved.

引用

页码：1 / 4

页数：3

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