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中文摘要：
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。
英文摘要：
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.
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