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Volume 30 Issue 12
Jan.  2011
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Xu Fang-Min, Tao Xiao-Feng, Zhang Ping. Interference Cancellation in MIMO Systems with Imperfect Channel State Information[J]. Journal of Electronics & Information Technology, 2008, 30(12): 2934-2937. doi: 10.3724/SP.J.1146.2007.00801
Citation: Xu Fang-Min, Tao Xiao-Feng, Zhang Ping. Interference Cancellation in MIMO Systems with Imperfect Channel State Information[J]. Journal of Electronics & Information Technology, 2008, 30(12): 2934-2937. doi: 10.3724/SP.J.1146.2007.00801

Interference Cancellation in MIMO Systems with Imperfect Channel State Information

doi: 10.3724/SP.J.1146.2007.00801
  • Received Date: 2007-05-28
  • Rev Recd Date: 2007-09-13
  • Publish Date: 2008-12-19
  • 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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