Optimum Performance of Nonlinear MIMO-SVD Schemes

João Guerreiro, R. Dinis, P. Montezuma
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Abstract

Multiple-input, multiple-output (MIMO) techniques usually involve some kind of pre-processing at the transmitter, namely when singular value decomposition (SVD) techniques are employed. However, the precoding operations in general and the ones associated to SVD techniques in particular can substantially increase the envelope fluctuations of the transmitted signal, which leads to an increased sensitivity to transmitter nonlinearities and inherent performance degradation. However, recent research demonstrates that nonlinear distortion can be seen as useful information, provided that an optimum detection is considered. In this work, we present an analytical approach to obtain the asymptotic optimum performance of MIMO-SVD systems with strong nonlinear distortion effects1.
非线性MIMO-SVD方案的最优性能
多输入多输出(MIMO)技术通常需要在发送端进行某种预处理,即使用奇异值分解(SVD)技术。然而,一般的预编码操作,特别是与奇异值分解技术相关的预编码操作,会大大增加传输信号的包络波动,从而导致对发射机非线性的灵敏度增加和固有性能下降。然而,最近的研究表明,非线性失真可以被视为有用的信息,只要考虑最佳检测。在这项工作中,我们提出了一种分析方法来获得具有强非线性失真效应的MIMO-SVD系统的渐近最优性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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