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

机译:基于频道识别的卫星通信的收缩映射信号预测方案的比较

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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)中的数据速率的预期增加将需要高阶调制和滚动滚动,这使得传输对由于板载放大器引起的非线性干扰更敏感。一种解决方案是在数据序列(基于数据)或在调制信号(基于信号)上的发射机处执行的信号的预失真。在本文中,我们专注于单载波通信,并考虑依赖于收缩映射定理的两个基于信号的预测技术,从来自数据(数据优化)或调制信号(信号优化)定义的错误优化。我们根据不同的优点(归一化最小方误差,相邻信道干扰,总劣化和稳健性对信道识别)进行比较。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,数据优化的信号预失真方案在总劣化方面优于信号优化方案,而信号优化方案最小化引起的相邻信道干扰最小化光谱再生。

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