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Parallel Digital Predistortion Design on Mobile GPU and Embedded Multicore CPU for Mobile Transmitters

机译:用于移动变送器的移动GPU和嵌入式多核CPU上的并行数字预失真设计

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AbstractDigital predistortion (DPD) is a widely adopted baseband processing technique in current radio transmitters. While DPD can effectively suppress unwanted spurious spectrum emissions stemming from imperfections of analog RF and baseband electronics, it also introduces extra processing complexity and poses challenges on efficient and flexible implementations, especially for mobile cellular transmitters, considering their limited computing power compared to basestations. In this paper, we present high data rate implementations of broadband DPD on modern embedded processors, such as mobile GPU and multicore CPU, by taking advantage of emerging parallel computing techniques for exploiting their computing resources. We further verify the suppression effect of DPD experimentally on real radio hardware platforms. Performance evaluation results of our DPD design demonstrate the high efficacy of modern general purpose mobile processors on accelerating DPD processing for a mobile transmitter.
机译: Abstract 数字预失真(DPD)是当前无线电发射机中广泛采用的基带处理技术。尽管DPD可以有效地抑制由于模拟RF和基带电子设备的不完善所引起的不需要的杂散频谱发射,但它也带来了额外的处理复杂性,并且由于与基站相比计算能力有限,特别是对于移动蜂窝发射机而言,尤其对移动蜂窝发射机而言,这给有效,灵活的实现带来了挑战。在本文中,我们将利用新兴的并行计算技术来利用宽带DPD在现代嵌入式处理器(例如移动GPU和多核CPU)上的高数据速率实现,以利用其计算资源。我们通过实验进一步验证了DPD在真实无线电硬件平台上的抑制效果。我们DPD设计的性能评估结果表明,现代通用移动处理器在加速移动发射机DPD处理方面具有很高的效率。

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