用实值时滞神经网络联合缓解智商失衡和功放损伤

S. Yesil, Burak Gürtunca, A. O. Yılmaz
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引用次数: 0

摘要

本文提出了一种基于神经网络的无线通信系统中IQ不平衡和功率放大器非线性导致的发射信号质量下降的联合缓解方法。为此,在级联NXP-MD8IC925和NXPBLF8G10LS功率放大器组成的硬件上验证了一种实值时滞神经网络架构,其总增益为46dB。为了实现闭环自适应数字预失真,对测试装置进行了MATLAB控制。测试结果表明,带内通道、第一通道和第二通道的性能分别提高了约24dB、19dB和14dB。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Joint Mitigation of IQ Imbalance and Power Amplifier Impairments by Real Valued Time Delay Neural Networks
This paper represents a neural network based joint mitigation of the IQ imbalance and power amplifier nonlinearities that cause degradation in the transmit signal quality of the wireless communication systems. A Real Valued Time Delay Neural Network architecture for this purpose has been verified on a hardware including cascaded NXP-MD8IC925 and NXPBLF8G10LS power amplifier components performing a total of 46dB gain. The test setup has been controlled over MATLAB in order to have a closed loop adaptive digital predistortion. The test results showed approximately 24dB, 19dB and 14dB performance improvements for the in-band, first and second adjacent channels, respectively.
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