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Polarization-based zero forcing suppression with multiple degrees of freedom

机译:具有多个自由度的基于极化的零强迫抑制

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Polarization-based suppression with zero forcing (ZF) is limited by similarities in the polarization-frequency response of the desired and interference signals. At subcarriers where the responses are similar, suppression of the interference also leads to suppression of the desired signal, and achievable cancellation ratios are correspondingly limited. A measure called the polarization power coupling (PPC) function is introduced for determining the impact of ZF on desired signal suppression. The PPC function provides a useful measure for predicting the magnitude of the suppression of the desired signal as a function of the subcarrier frequency. We consider the use of an additional degree of freedom (DOF), e.g., with a partially correlated or uncorrelated PPC response, to provide diversity detection for improving symbol error rate (SER) performance associated with recovery of the desired signal. The approach employs suppression diversity on a subcarrier-by-subcarrier basis and uses the PPC function to identify the ZF filter response leading to a better estimate of the desired signal symbols in each subcarrier. The method is shown to provide reduced suppression of the desired signal and to improved SER performance. An alternative use of the additional DOF is considered for suppression of a second source in a two-stage processing scheme, and a receiver architecture is proposed that exploits the diversity and suppression extensions enabled by an additional degree of freedom.
机译:具有零强迫(ZF)的基于极化的抑制受到所需信号和干扰信号的极化频率响应相似性的限制。在响应相似的子载波上,干扰的抑制也导致期望信号的抑制,并且相应地限制了可达到的抵消率。为了确定ZF对所需信号抑制的影响,引入了一种称为极化功率耦合(PPC)功能的措施。 PPC功能提供了一种有用的措施,可用于根据子载波频率预测所需信号的抑制幅度。我们考虑使用附加的自由度(DOF),例如具有部分相关或不相关的PPC响应,以提供分集检测,以改善与所需信号的恢复相关的符号错误率(SER)性能。该方法在逐个子载波的基础上采用抑制分集,并使用PPC功能来识别ZF滤波器响应,从而更好地估计每个子载波中的所需信号符号。示出了该方法可以减小所需信号的抑制并提高SER性能。在两阶段处理方案中,可以考虑使用额外的DOF来抑制第二个信号源,并且提出了一种接收器体系结构,该体系结构利用了由附加自由度实现的分集和抑制扩展。

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