非精确信道状态信息下MIMO系统中的干扰删除

许方敏; 陶小峰; 张平

doi:10.3724/SP.J.1146.2007.00801

非精确信道状态信息下MIMO系统中的干扰删除

doi: 10.3724/SP.J.1146.2007.00801

许方敏^{① 陶小峰,},
陶小峰,
张平

基金项目:

国家自然科学基金重大项目(60496312)和国家863计划项目 (2006AA01Z260)资助课题

计量
- 文章访问数: 3456
- HTML全文浏览量: 103
- PDF下载量: 855
- 被引次数: 0
出版历程
- 收稿日期: 2007-05-28
- 修回日期: 2007-09-13
- 刊出日期: 2008-12-19

Interference Cancellation in MIMO Systems with Imperfect Channel State Information

Xu Fang-Min^{① 陶小峰
,},
Tao Xiao-Feng,
Zhang Ping

摘要

摘要: 复杂的多天线环境中，未知的干扰和噪声无处不在，这些因素不但引起了多输入多输出(MIMO)系统信号检测的偏差，还加大了获取精确信道状态信息(CSI)的难度。因此，为了删除MIMO系统中的未知干扰，该文建立了非精确CSI下的系统模型，模型中的非线性函数表示MIMO系统中的干扰。基于非参数理论提出了针对这种干扰的干扰删除方法。与以往方法不同的是，模型中的干扰是完全未知的。进一步地，从理论上证明了干扰删除的有效性，即证明了估计函数的收敛性。仿真结果表明，所提出的方法能有效地删除系统中的干扰。
- 多输入多输出(MIMO) /
- 非精确信道状态信息 /
- 未知干扰 /
- 非参数理论
Abstract: Unknown interference and noise are ubiquitous in the complexity multi-antennas environment. They not only reduce precision of signal detection in Multi-Input Multi-Output (MIMO) systems seriously but also make it difficult to obtain perfect Channel State Information (CSI). In this paper, to cancel unknown interference in MIMO systems, a new approach for modeling these systems with imperfect CSI is introduced. The interference is treated as a nonlinear function in the model and estimated based on nonparametric theory. Unlike other interference cancellation methods, the interference treated here is unknown absolutely. Furthermore, the proposed interference cancellation is proved to be effective via theoretical analysis. That is, estimation of the interference is convergent. Simulation results demonstrate that the interference cancellation proposed here is valid for MIMO systems with imperfect CSI.
- M /
- u /
- l

HTML全文

参考文献(1)

[1] [1] 3GPP, TR 25.913, Requirements for Evolved UTRA(E-UTRA) and Evolved UTRAN (E-UTRAN)[S], v7.3.0,2006. [2] 3GPP2, cdma2000 enhanced packet data air interfacesystem-system requirements document, v0.04, 2005. [3] 陶小峰, 印海莹, 徐缙等. 广义MIMO 通用信道矩阵建模. 北京邮电大学学报, 2005, 28(5): 47-51.Tao Xiao-feng, Yin Hai-ying, and Xu Jin et al.. Modeling ofthe generalized MIMO channel matrix. Journal of BeijingUniversity of Posts and Telecommunications, 2005, 28(5):47-51. [4] 陶小峰, 秦海燕, 温蕾等. 频率选择性信道下V-BLAST 的信道矩阵的建模. 北京邮电大学学报, 2004, 27(2): 84-87.Tao Xiao-feng, Qin Hai-yan, and Wen Lei et al.. Channelmodeling of layered space-time code under frequencyselectivefading channel. Journal of Beijing University ofPosts and Telecommunications, 2004, 27(2): 84-87. [5] Choi Seyeong, Ko Young-Chai, and Powers E J.Optimization of switched MIMO systems over rayleigh fadingchannels[J].IEEE Trans. on Vehicular Technology.2007, 56(1):103-114 [6] Gershman A B and Sidiropoulos N D . Space time processingfor MIMO communications. USA: John Wiley and Sons, Ltd.2005: 1-357. [7] Lau K N.[J].Kwong Yu, and Kwok Ricky. Channel adaptivetechnologies and cross layer designs for wireless systems withmultiple antennas theory and applications.Canada: JohnWiley Sons, Inc., Publication.2006,:- [8] 王振杰, 卢秀山. 利用半参数模型分离GPS 基线中的系统误差. 武汉大学学报, 2007, 32(4): 316-318.Wang Zhen-jie and Lu Xiu-shan. Separating systematicalerrors in GPS baselines using semi-parametric model. Journalof Wuhan University, 2007, 32(4): 316-318. [9] 易东云, 吴翊, 朱矩波等. 模型误差与轨道精度. 系统工程与电子技术, 1999, 21(1): 15-19.Yi Dong-yun, Wu Yi, and Zhu Ju-bo, et al.. Modeling errorand orbit precision. Systems Engineering and Electronics,1999, 21(1): 15-19. [10] 王炯琦, 周海银, 赵德勇等. 基于半参数回归模型的双星系统定轨算法及精度分析.宇航学报, 2006, 27: 56-62.Wang Jiong-qi, Zhou Hai-yin, and Zhao De-yong, et al..Research on the algorithm of semi-parametric regressionmodel for orbit determination and its precision analysis basedon bi-satellite positioning system. Journal of Astronautics,2006, 27(12): 56-62. [11] Zhou Z and Vucetic B. Design of adaptive modulation usingimperfect CSI in MIMO systems[J].Electronics Letters.2004,40(17):1073-1075 [12] Stone C J. Consistent nonparametric regression. The Annualsof Statistics. 1977, 5(4): 595-645. [13] Hong Shengyan and Cheng Ping. The convergence rate ofestimation for parameter in a semiparametric model. ChineseJournal of Applied Probability and Statistics, 1994, 10(1):62-70. [14] Jian Shi and Lau Taishing. Empirical likelihood for partiallylinear models[J].Journal of Multivariate Analysis.2000, 72(1):132-148 [15] Cui H J and Chen S X. Empirical likelihood confidence regionfor parameter in the errors-in-variables models[J].Journal ofMultivariate Analysis.2003, 84(1):101-115

施引文献

资源附件(0)

访问统计