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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

许方敏, 陶小峰, 张平. 非精确信道状态信息下MIMO系统中的干扰删除[J]. 电子与信息学报, 2008, 30(12): 2934-2937. doi: 10.3724/SP.J.1146.2007.00801
引用本文: 许方敏, 陶小峰, 张平. 非精确信道状态信息下MIMO系统中的干扰删除[J]. 电子与信息学报, 2008, 30(12): 2934-2937. doi: 10.3724/SP.J.1146.2007.00801
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

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
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

Interference Cancellation in MIMO Systems with Imperfect Channel State Information

  • 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。
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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

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