Interference Cancellation in MIMO Systems with Imperfect Channel State Information
非精确信道状态信息下MIMO系统中的干扰删除

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.