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Predistortion

About: Predistortion is a research topic. Over the lifetime, 4816 publications have been published within this topic receiving 67603 citations.


Papers
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Journal ArticleDOI
TL;DR: In this article, a wide variety of techniques, implementations, and active devices are presented to generate RF/microwave power for wireless communications, but also in applications such as jamming, imaging, RF heating, and miniature dc/dc converters.
Abstract: The generation of RF/microwave power is required not only in wireless communications, but also in applications such as jamming, imaging, RF heating, and miniature dc/dc converters. Each application has its own unique requirements for frequency, bandwidth, load, power, efficiency, linearity, and cost. RF power is generated by a wide variety of techniques, implementations, and active devices. Power amplifiers are incorporated into transmitters in a similarly wide variety of architectures, including linear, Kalm, envelope tracking, outphasing, and Doherty. Linearity can be improved through techniques such as feedback, feedforward, and predistortion.

1,335 citations

Journal ArticleDOI
TL;DR: This paper relates the general Volterra representation to the classical Wiener, Hammerstein, Wiener-Hammerstein, and parallel Wiener structures, and describes some state-of-the-art predistortion models based on memory polynomials, and proposes a new generalizedMemory polynomial that achieves the best performance to date.
Abstract: Conventional radio-frequency (RF) power amplifiers operating with wideband signals, such as wideband code-division multiple access (WCDMA) in the Universal Mobile Telecommunications System (UMTS) must be backed off considerably from their peak power level in order to control out-of-band spurious emissions, also known as "spectral regrowth." Adapting these amplifiers to wideband operation therefore entails larger size and higher cost than would otherwise be required for the same power output. An alternative solution, which is gaining widespread popularity, is to employ digital baseband predistortion ahead of the amplifier to compensate for the nonlinearity effects, hence allowing it to run closer to its maximum output power while maintaining low spectral regrowth. Recent improvements to the technique have included memory effects in the predistortion model, which are essential as the bandwidth increases. In this paper, we relate the general Volterra representation to the classical Wiener, Hammerstein, Wiener-Hammerstein, and parallel Wiener structures, and go on to describe some state-of-the-art predistortion models based on memory polynomials. We then propose a new generalized memory polynomial that achieves the best performance to date, as demonstrated herein with experimental results obtained from a testbed using an actual 30-W, 2-GHz power amplifier

1,305 citations

Journal ArticleDOI
TL;DR: A memory polynomial model for the predistorter is proposed and implemented using an indirect learning architecture and linearization performance is demonstrated on a three-carrier WCDMA signal.
Abstract: Power amplifiers (PAs) are inherently nonlinear devices and are used in virtually all communications systems. Digital baseband predistortion is a highly cost-effective way to linearize PAs, but most existing architectures assume that the PA has a memoryless nonlinearity. For wider bandwidth applications such as wideband code-division multiple access (WCDMA) or wideband orthogonal frequency-division multiplexing (W-OFDM), PA memory effects can no longer be ignored, and memoryless predistortion has limited effectiveness. In this paper, instead of focusing on a particular PA model and building a corresponding predistorter, we focus directly on the predistorter structure. In particular, we propose a memory polynomial model for the predistorter and implement it using an indirect learning architecture. Linearization performance is demonstrated on a three-carrier WCDMA signal.

1,160 citations

Journal ArticleDOI
TL;DR: In this paper, memory effects in the power amplifier limit the performance of digital predistortion for wideband signals, and novel algorithms that take into account such effects are proposed to solve the problem.
Abstract: Memory effects in the power amplifier limit the performance of digital predistortion for wideband signals. Novel algorithms that take into account such effects are proposed. Measured results are presented for single and multicarrier UMTS signals to demonstrate the effectiveness of the new approach.

934 citations

Book
21 Dec 2001
TL;DR: This chapter concludes with a review of Stochastic Processes and Random Variables in a Digital Communication System and Rapid Prototyping of a WLAN System.
Abstract: (NOTE: Each chapter concludes with a Bibliography.) Preface. 1. Background and WLAN Overview. Review of Stochastic Processes and Random Variables. Review of Discrete-Time Signal Processing. Components of a Digital Communication System. OFDM WLAN Overview. Single Carrier Versus OFDM Comparison. 2. Synchronization. Timing Estimation. Frequency Synchronization. Channel Estimation. Clear Channel Assessment. Signal Quality. 3. Modulation and Coding. Modulation. Interleaving. Channel Codes. 4. Antenna Diversity. Background. Receive Diversity. Transmit Diversity. 5. RF Distortion Analysis for OFDM WLAN. Components of the Radio Frequency Subsystem. Predistortion Techniques for Nonlinear Distortion Mitigation. Adaptive Predistortion Techniques. Coding Techniques for Amplifier Nonlinear Distortion Mitigation. Phase Noise. IQ Imbalance. 6. Medium Access Control (MAC)for IEEE 802.ll Networks. MAC Overview. MAC System Architecture. MAC Frame Formats. MAC Data Services. MAC Management Services. MAC Management Information Base. 7. Medium Access Control (MAC) for HiperLAN/2 Networks. Network Architecture. DLC Functions. MAC Overview. Basic MAC Message Formats. PDU Trains. MAC Frame Structure. Building a MAC Frame. MAC Frame Processing. 8. Rapid Prototyping for WLANs. Introduction to Rapid Prototype Design. Good Digital Design Practices. Rapid Prototyping of a WLAN System. Index.

786 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202387
2022204
2021160
2020204
2019226
2018216