Array-Level Approach to Nonlinear Equalization

Nicholas Peccarelli, C. Fulton
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引用次数: 2

Abstract

Low-cost digital arrays suffer from nonlinear distortion, in both the transmitters (Tx) and receivers (Rx), introducing nonlinear spurious products, compression, and memory effects. Many linearization techniques have been researched to mitigate nonlinear distortion, such as digital pre-distortion (DPD) for Tx and nonlinear equalization (NLEQ) for Rx. However, these linearization techniques have mostly focused on channel-level correction, ignoring the array-level aspects. This paper gives an overview of the array-level aspects that need to be taken into account to effectively use NLEQ for digital arrays. Furthermore, an averaging method is proposed to help reduce computational complexity of NLEQ techniques, while leveraging the previously discussed array-level advantages.
非线性均衡的阵列级方法
低成本数字阵列在发射器(Tx)和接收器(Rx)中都遭受非线性失真,引入非线性杂散产物,压缩和记忆效应。为了减轻非线性失真,人们研究了许多线性化技术,如用于Tx的数字预失真(DPD)和用于Rx的非线性均衡(NLEQ)。然而,这些线性化技术主要集中在信道级校正上,而忽略了阵列级方面。本文概述了在数字阵列中有效使用NLEQ需要考虑的阵列级方面。此外,在利用先前讨论的阵列级优势的同时,提出了一种平均方法来帮助降低NLEQ技术的计算复杂性。
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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