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Partial Transmit Sequences based on Least Clipping Noise

机译:基于最小削波噪声的部分发送序列

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摘要

The Gaussian distributed OFDM signal with high fluctuation introduces nonlinear distortion, out-of-band radiation due to strict requirement on linearity in power amplifier. In 1997, Muller and Huber proposed partial transmit sequences algorithm based on least PAPR (Peak to Average Power Ratio) in order to reduce the fluctuation. On the other hand, when dividing the sequences into more parts, the computation increases exponentially. Furthermore, this algorithm often focuses on the compression of the highest power, which does not mean that the overall system performance should be improved. This paper proposes a novel partial transmit sequences algorithm based on least clipping noise. Specifically, in the selection of optimal parameters in partial transmit sequences to modify the phases of input symbols, total clipping noise (nonlinear distortion) is considered instead of the highest power. This algorithm is extensively studied with the well-known model of power amplifier. It is shown that the system performance with 2 partitions based on least clipping noise is close to that with 3 partitions based on least PAPR, and performance with 3 partitions based on least clipping noise is even better than that with 4 partitions based on least PAPR. This way, the required computation is effectively reduced.
机译:由于功率放大器中对线性的严格要求,具有高波动性的高斯分布式OFDM信号会引入非线性失真和带外辐射。 1997年,Muller和Huber提出了基于最小PAPR(峰均功率比)的部分发射序列算法,以减少波动。另一方面,将序列划分为更多部分时,计算量呈指数增长。此外,该算法通常侧重于最高功率的压缩,这并不意味着应该提高整体系统性能。提出了一种基于最小限幅噪声的新型部分发射序列算法。具体地,在选择部分发射序列中的最佳参数以修改输入符号的相位时,考虑总削波噪声(非线性失真)而不是最高功率。该算法已在著名的功率放大器模型中进行了广泛的研究。结果表明,基于2个基于最小削波噪声的分区的系统性能接近于3个基于最小PAPR的分区的系统性能,甚至比具有4个基于最小PAPR的分区的系统性能还要好。这样,有效地减少了所需的计算。

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