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ELM (Extreme Learning Machine) Based Correlated Interference Canceller for Small Aperture Array Antenna

机译:基于ELM(极限学习机)的小孔径阵列天线相关干扰消除器

摘要

The multipath effect creates a highly correlated interference. Subsequently, small aperture array antennas equipped in mobile devices must be able to effectively cancel this coherent interference. Spatial smoothing MMSE is a typical coherent interference cancellation algorithm; however, this method further reduces the small aperture size and reduces the number of coherent interferences to cancel out. This paper proposes a new method to reject coherent interferences without a reduction in the antenna aperture size. We show the superiority of the proposed algorithm through a comparison of cancellation performance with existing adaptive beamforming algorithms.
机译:多径效应产生高度相关的干扰。随后,移动设备中配备的小孔径阵列天线必须能够有效消除这种相干干扰。空间平滑MMSE是一种典型的相干干扰消除算法;然而,该方法进一步减小了小孔径尺寸并减少了相干干扰的数量以抵消。本文提出了一种在不减小天线孔径的情况下抑制相干干扰的新方法。通过将抵消性能与现有的自适应波束形成算法进行比较,我们展示了所提出算法的优越性。

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