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arXiv 1401.3129cs.ITcs.NImath.IT
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全双工收发机中功放非线性自干扰的消除

Cancellation of Power Amplifier Induced Nonlinear Self-Interference in Full-Duplex Transceivers

Lauri Anttila, Dani Korpi, Ville Syrjälä, Mikko Valkama

摘要:

近来,已经提出了在同一信道上同时发送和接收的全双工(FD)通信。然而,FD接收器遭受来自更强大的发射信号的不可避免的自干扰(SI)。已经提出了用于抑制SI的射频(RF)和基带以及数字基带抵消技术,但是到目前为止,大多数研究都没有考虑发射机和接收机前端的固有非线性。为了填补这一空白,本文提出了一种新的数字非线性干扰消除技术,以减轻功率放大器(PA)引起的FD收发器中的非线性SI。该技术是基于建模的非线性SI信道,这是由非线性PA,线性多径SI信道,和RF SI消除器,与并行Hammerstein非线性。从建模,并适当的参数估计,已知的发送数据,然后处理与开发的非线性并行Hammerstein结构和抑制从接收机路径在数字基带。结果表明,与现有的线性SI消除方法相比,在PA的给定IIP3图的情况下,所提出的技术能够使用更高的发射功率。或者,对于给定的最大发射功率电平,可以使用较低质量的PA(即,低IIP3)。

英文摘要:

Recently, full-duplex (FD) communications with simultaneous transmission and reception on the same channel has been proposed. The FD receiver, however, suffers from inevitable self-interference (SI) from the much more powerful transmit signal. Analogue radio-frequency (RF) and baseband, as well as digital baseband, cancellation techniques have been proposed for suppressing the SI, but so far most of the studies have failed to take into account the inherent nonlinearities of the transmitter and receiver front-ends. To fill this gap, this article proposes a novel digital nonlinear interference cancellation technique to mitigate the power amplifier (PA) induced nonlinear SI in a FD transceiver. The technique is based on modeling the nonlinear SI channel, which is comprised of the nonlinear PA, the linear multipath SI channel, and the RF SI canceller, with a parallel Hammerstein nonlinearity. Stemming from the modeling, and appropriate parameter estimation, the known transmit data is then processed with the developed nonlinear parallel Hammerstein structure and suppressed from the receiver path at digital baseband. The results illustrate that with a given IIP3 figure for the PA, the proposed technique enables higher transmit power to be used compared to existing linear SI cancellation methods. Alternatively, for a given maximum transmit power level, a lower-quality PA (i.e., lower IIP3) can be used.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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