[1]曹敦,孟鑫,江彬,等.基于Cholesky分解的MIMO-OFDM系统同信道干扰抑制方法[J].东南大学学报(自然科学版),2015,45(1):1-4.[doi:10.3969/j.issn.1001-0505.2015.01.001]
 Cao Dun,Meng Xin,Jiang Bin,et al.Cholesky-decompositon-based co-channel interference suppression method in MIMO-OFDM systems[J].Journal of Southeast University (Natural Science Edition),2015,45(1):1-4.[doi:10.3969/j.issn.1001-0505.2015.01.001]
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基于Cholesky分解的MIMO-OFDM系统同信道干扰抑制方法()
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《东南大学学报(自然科学版)》[ISSN:1001-0505/CN:32-1178/N]

卷:
45
期数:
2015年第1期
页码:
1-4
栏目:
信息与通信工程
出版日期:
2015-01-20

文章信息/Info

Title:
Cholesky-decompositon-based co-channel interference suppression method in MIMO-OFDM systems
作者:
曹敦12孟鑫1江彬1高西奇1尤肖虎1
1东南大学移动通信国家重点实验室, 南京 210096; 2长沙理工大学计算机与通信工程学院, 长沙 410004
Author(s):
Cao Dun12 Meng Xin1 Jiang Bin1 Gao Xiqi1 You Xiaohu1
1National Mobile Communications Research Laboratory, Southeast University, Nanjing 210096, China
2School of Computer and Communication Engineering, Changsha University of Science and Technology, Changsha 410004, China
关键词:
多输入多输出 正交频分复用 信道估计 同信道干扰 干扰协方差矩阵
Keywords:
multiple-input multiple-output(MIMO) orthogonal frequency division multiplexing(OFDM) channel estimation co-channel interference interference covariance matrix
分类号:
TN911
DOI:
10.3969/j.issn.1001-0505.2015.01.001
摘要:
在多输入多输出-正交频分复用(MIMO-OFDM)系统中,通过联合估计信道矩阵和干扰协方差矩阵(ICM)的方法来抑制同信道干扰.首先,利用最小二乘法和残差估计方法获取信道矩阵和ICM的初始估计值;然后,基于Cholesky分解方法对ICM的估计值进行改善,并利用改善后的ICM估计值对信道矩阵估计值进行更新.该方法充分利用了时域和频域中的所有可用信息,提高了信道估计精度,较好地抑制了同信道干扰.仿真结果表明:与其他可实现的非迭代方法相比,该方法所得的信道频率响应估计均方误差性能增益高于2 dB;信干噪比(SINR)越大,比特误码率性能的改善程度越好,并且随着天线数的增多,性能增益也增大.
Abstract:
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.

参考文献/References:

[1] Narasimhan R, Cheng S. Channel estimation and co-channel interference rejection for LTE-Advanced MIMO uplink[C]//2012 IEEE Wireless Communications and Networking Conference. Paris, France, 2012: 416-420.
[2] Li Qiang, Zhu Jing, Li Qinghua, et al. Efficient spatial covariance estimation for asynchronous co-channel interference suppression in MIMO-OFDM systems[J]. IEEE Transactions on Wireless Communications, 2008, 7(12): 4849-4853.
[3] Raghavendra M R, Juntti M, Myllyla M. Co-channel interference mitigation for 3G LTE MIMO-OFDM systems[C]//2009 IEEE International Conference on Communications. Dresden, Germany, 2009:1-5.
[4] Han J S, Jang J H, Choi H J, et al. Enhanced spatial covariance matrix estimation for asynchronous inter-cell interference mitigation in MIMO-OFDMA system[C]//2009 IEEE Vehicular Technology Conference. Barcelona, Spain, 2009: 1-5.
[5] Fang K, Auer G. Iterative OFDM receiver with combined interference suppression and cancellation[C]//2011 IEEE International Symposium on Personal Indoor and Mobile Radio Communications. Toronto, Canada, 2011: 1412-1416.
[6] Maltsev A, Maslennikov R, Khoryaev A. Comparative analysis of spatial covariance matrix estimation methods in OFDM communication systems[C]//2006 IEEE International Symposium on Signal Processing and Information Technology. Vancouver, Canada, 2006:551-555.
[7] Ohwatari Y, Miki N, Sagae Y, et al. Investigation on advanced receiver employing interference rejection combining for space-frequency block code transmit diversity in LTE-Advanced downlink[C]//2012 IEEE International Symposium on Personal Indoor and Mobile Radio Communications. Sydney, Australia, 2012: 2414-2420.
[8] Larsson E G. Semi-structured interference suppression for orthogonal frequency division multiplexing[C]//2003 IEEE International Symposium on Signal Processing and Information Technology. Darmstadt, Germany,2003:435-438.
[9] Steven M K. Fundamentals of statistical signal processing[M]. Englewood Cliffs,New Jersey, USA:Prentice Hall, 1998:157-286.

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备注/Memo

备注/Memo:
收稿日期: 2014-07-30.
作者简介: 曹敦(1979—),女,博士生,讲师,caodun@csust.edu.cn.
基金项目: 国家自然科学基金资助项目(61320106003, 61222102,61201171)、 国家高技术研究发展计划(863计划)资助项目(2012AA01A506)、 国家科技重大专项课题资助项目(2013ZX03003004, 2014ZX03003006)、江苏省“创新团队计划”资助项目、湖南省标准化战略项目资助项目(201200004).
引用本文: 曹敦,孟鑫,江彬,等.基于Cholesky分解的MIMO-OFDM系统同信道干扰抑制方法[J].东南大学学报:自然科学版,2015,45(1):1-4. [doi:10.3969/j.issn.1001-0505.2015.01.001]
更新日期/Last Update: 2015-01-20