Adaptive precompensation of Wiener systems

Kang, Hyun Woo; Cho, Yong Soo; Youn, Dae Hee

doi:10.1109/78.720387

Cited by 51 publications

(1 citation statement)

References 9 publications

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“…According to the model structure, the models of power amplifier or predistorter are classified into two boxes, three boxes and parallel cascade models. Typical two-box model structures include Wiener model and Hammerstein model [2,3]. As shown in Figure 4.…”

Section: Nonlinear Modeling With Linear Memorymentioning

confidence: 99%

Principles, applications, and challenges of digital predistortion technology

Chen,

2024

ACE

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A power amplifier plays a crucial role in the transmitter end of wireless communication systems. Despite enhancing operational efficiency, it inadvertently introduces nonlinear distortion, leading to signal degradation and spectral regrowth. This occurrence necessitates the incorporation of additional linearization techniques in transmitter terminals to optimize both efficiency and linearity concurrently. Among these, Digital Pre-Distortion (DPD) technology stands out as a well-researched and extensively employed strategy for alleviating the nonlinear distortion induced by power amplifiers. This paper embarks on a comprehensive exploration of DPD technology, offering insight into its evolutionary path and elaborating on its foundational principles and essential techniques. The discussion extends to elucidate the significant technical challenges and the burgeoning trends within the DPD technology landscape. The narrative underscores the significance of DPD in enhancing the performance and efficiency of wireless communication systems, particularly in the context of burgeoning technological advancements and escalating demands for superior communication quality and broader bandwidth. Through a meticulous examination of the DPD technology paradigm, this paper contributes to the ongoing discourse and research, shedding light on prospective developmental avenues and potential enhancements that could further augment the efficacy and reliability of DPD technology in contemporary communication systems.

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Section: Nonlinear Modeling With Linear Memorymentioning

confidence: 99%

Principles, applications, and challenges of digital predistortion technology

Chen,

2024

ACE

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Nonlinear Effects of Wireless Transceivers

Eriksson¹,

Cao²,

Fager³

2019

Wiley 5G Ref

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All communication transceivers suffer from nonlinearities in the analog components, such as amplifiers, mixers, ADCs/DACs, etc. Such nonlinearities lead to distortion of the communication signals, and may lead to the transceiver interfering with victims operating at neighbor frequencies. The effects of nonlinearities have been a focus area since the start of digital mobile communication, and particularly the power amplifier in the transmitter has received much of attention. However, with 5G there are a few features that lead to a change in how nonlinearities are affecting the system. The usage of large antenna arrays, the introduction of millimeter‐wave frequencies, and the large signal bandwidths all lead to new effects due to nonlinearities – some beneficial, some problematic. In this article, we present a comprehensive overview of the underlying reasons for nonlinearity and how to model them. We study the effects of nonlinearity in several scenarios, including single‐ and multi‐antenna transceivers, phased array and hybrid digital/analog beamforming, single‐ and multi‐carrier signaling, and concurrent multi‐band signaling, and we briefly discuss compensation of the effects.

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2. Power Amplifier Linearization

Digital Synthesizers and Transmitters for Software Radio

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Adaptive precompensation of Wiener systems

Cited by 51 publications

References 9 publications

Principles, applications, and challenges of digital predistortion technology

Principles, applications, and challenges of digital predistortion technology

Nonlinear Effects of Wireless Transceivers

2. Power Amplifier Linearization

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