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    • 5. 发明授权
    • OFDM interference cancellation based on training symbol interference
    • 基于训练符号干扰的OFDM干扰消除
    • US07095791B2
    • 2006-08-22
    • US11198381
    • 2005-08-05
    • Vincent K. Jones, IVDerek GerlachGregory Raleigh
    • Vincent K. Jones, IVDerek GerlachGregory Raleigh
    • H04K1/00H04B7/10
    • H04L27/2647H04L25/0328
    • Systems and methods for optimally combining signals from multiple antennas to ameliorate the effects of noise and/or interference on OFDM communications are provided. In one embodiment, an initial spatial statistical characterization of interference and/or noise is based on training symbols received via each antenna. Because the transmitted values of the training symbols are already known, there is no need to estimate their transmitted value to form this initial statistical characterization. The data symbol values received via the multiple antennas are combined based on the initial spatial statistical characterization. The result of this combination step is then used to form a refined spatial statistical characterization of noise and/or interference. The received data symbol values are then recombined based on the refined spatial statistical characterization.
    • 提供了用于最佳地组合来自多个天线的信号以改善噪声和/或干扰对OFDM通信的影响的系统和方法。 在一个实施例中,干扰和/或噪声的初始空间统计表征基于经由每个天线接收的训练符号。 因为训练符号的传输值已经是已知的,所以不需要估计它们的传输值来形成这个初始的统计特征。 经由多个天线接收的数据符号值根据初始的空间统计特征进行组合。 然后将该组合步骤的结果用于形成噪声和/或干扰的精细空间统计表征。 然后,基于精确的空间统计特征重新组合接收到的数据符号值。