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A New Online Nonlinear Self-Interference Cancelation Method With Random Fourier Features
IEEE Wireless Communications Letters ( IF 4.6 ) Pub Date : 4-26-2022 , DOI: 10.1109/lwc.2022.3170300
Mikail Erdem 1 , Huseyin Ozkan 1 , Ozgur Gurbuz 1
Affiliation  

In this letter, we present a new online nonlinear digital self-interference cancelation method for full duplex radios. In this method, random Fourier features transformation is performed before utilizing the least mean squares algorithm, which is applied to the residual of linear digital cancelation. The proposed solution’s performance is evaluated against prominent nonlinear cancelation schemes on the same full duplex radio set-up, consisting only of a monostatic antenna and a WARP v3 board. Our experimental results show that the proposed solution provides the highest self-interference cancelation while reducing the complexity of the batch solutions by up to two orders of magnitude.

中文翻译:


一种新的具有随机傅立叶特征的在线非线性自干扰消除方法



在这封信中,我们提出了一种用于全双工无线电的新型在线非线性数字自干扰消除方法。该方法在利用最小均方算法之前先进行随机傅里叶特征变换,并将其应用于线性数字消除的残差。所提出的解决方案的性能是在相同的全双工无线电设置(仅由单基地天线和 WARP v3 板组成)上针对突出的非线性消除方案进行评估的。我们的实验结果表明,所提出的解决方案提供了最高的自干扰消除能力,同时将批量解决方案的复杂性降低了两个数量级。
更新日期:2024-08-26
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