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In-Band and Out-Of-Band Distortions Optimization for ATSC 3.0 Transmission: A Novel TR PAPR Reduction Algorithm

机译:ATSC 3.0传输的带内和带外失真优化:一种新颖的TR PAPR降低算法

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This paper presents a novel Tone Reservation (TR) Peak to Average Power Ratio (PAPR) algorithm for the American digital video broadcasting (ATSC 3.0) standard. As any multicarrier communication systems, ATSC 3.0 transmitters suffer from high peaks of the transmitted signal. The high signal fluctuations constitute a major disadvantage of these systems. Indeed, they constraint the high power amplifiers to operate in their linear region which leads to poor spectral efficiency. To reduce the amplitude of the signal peaks, a TR gradient based algorithm has been proposed as an option within the ATSC 3.0 standard. Although TR-based algorithms have been intensively investigated these last years, very few today's transmitters implement these algorithms as they do not offer a high performance/complexity trade-off. This paper presents a novel TR-based algorithm, named as Grouped Carrier Peak Windowing (GCPW), which offers higher performance than the standard TR gradient-based algorithm while being implementable and compatible with the ATSC 3.0 standard. We also show through simulations that the proposed algorithm highly outperforms the gradient-based standard algorithm in terms of both in-band and out-of-band distortions. Results show that the novel algorithm offers very promising performance in terms of both modulation error rate and shoulder attenuation.
机译:本文提出了一种新颖的音调保留(TR)峰均功率比(PAPR)算法,用于美国数字视频广播(ATSC 3.0)标准。与任何多载波通信系统一样,ATSC 3.0发射机的发射信号峰值很高。高信号波动构成了这些系统的主要缺点。实际上,它们限制了高功率放大器在其线性区域中运行,这导致较差的频谱效率。为了降低信号峰值的幅度,已提出将基于TR梯度的算法作为ATSC 3.0标准中的一种选择。尽管最近几年已经对基于TR的算法进行了深入研究,但由于没有提供高性能/复杂性的折衷,因此如今很少有发射机采用这些算法。本文提出了一种新颖的基于TR的算法,称为分组载波峰值窗(GCPW),与基于TR的标准算法相比,该算法具有更高的性能,同时可实现并与ATSC 3.0标准兼容。我们还通过仿真显示,无论是在带内还是在带外失真方面,所提出的算法都大大优于基于梯度的标准算法。结果表明,该新算法在调制误差率和肩部衰减方面都提供了非常有希望的性能。

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