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Comparison of signal predistortion schemes based on the contraction mapping for satellite communications with channel identification

机译:基于收缩映射的卫星通信与信道识别的信号预失真方案比较

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The expected increase of data rates in future satellite communications (DVB-S2X) will require higher-order modulations and sharper roll-off, which makes the transmission more sensitive to non-linear interference due to on-board amplifiers. One solution is the predistortion of the signal that is carried out at the transmitter either on the data sequence (data-based) or on the modulated signal (signal-based). In this paper, we focus on single carrier communication and consider two signal-based predistortion techniques relying on the contraction mapping theorem, optimized from an error defined either from the data (data-optimized) or from the modulated signal (signal-optimized). We compare both schemes according to different figures of merit (normalized minimum square error, adjacent channel interference, total degradation and robustness towards channel identification). We show that, under realistic satellite transmission conditions, including satellite channel model and channel identification, the data-optimized signal predistortion scheme outperforms the signal-optimized scheme in terms of total degradation, whereas the signal-optimized scheme minimizes the adjacent channel interference due to spectral regrowth.
机译:未来卫星通信(DVB-S2X)中预期的数据速率增加将需要更高阶的调制和更陡峭的滚降,这将使传输对机载放大器引起的非线性干扰更加敏感。一种解决方案是在发射机上对信号进行预失真,该预失真是基于数据序列(基于数据)或基于调制信号(基于信号)的。在本文中,我们专注于单载波通信,并考虑了两种基于收缩映射定理的基于信号的预失真技术,这些技术是根据数据(数据优化)或调制信号(信号优化)定义的误差进行优化的。我们根据不同的优值(归一化最小平方误差,相邻信道干扰,总衰减和对信道识别的鲁棒性)比较两种方案。我们表明,在现实的卫星传输条件下,包括卫星信道模型和信道识别,就总衰减而言,数据优化的信号预失真方案优于信号优化的方案,而信号优化的方案则将由于光谱再生长。

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