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Piecewise Digital P...
Piecewise Digital Predistortion for mmWave Active Antenna Arrays: Algorithms and Measurements
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- Brihuega, Alberto (författare)
- Tampereen Yliopisto,University of Tampere
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- Abdelaziz, Mahmoud (författare)
- Zewail City of Science and Technology
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- Anttila, Lauri (författare)
- Tampereen Yliopisto,University of Tampere
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- Turunen, Matias (författare)
- Tampereen Yliopisto,University of Tampere
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- Allen, Markus (författare)
- Tampereen Yliopisto,University of Tampere
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- Eriksson, Thomas, 1964 (författare)
- Chalmers tekniska högskola,Chalmers University of Technology
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- Valkama, Mikko (författare)
- Tampereen Yliopisto,University of Tampere
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(creator_code:org_t)
- 2020
- 2020
- Engelska.
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Ingår i: IEEE Transactions on Microwave Theory and Techniques. - 0018-9480 .- 1557-9670. ; 68:9, s. 4000-4017
- Relaterad länk:
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https://research.cha...
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https://doi.org/10.1...
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Abstract
Ämnesord
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- In this article, we describe a novel framework for digital predistortion (DPD)-based linearization of strongly nonlinear millimeter-wave active antenna arrays. Specifically, we formulate a piecewise (PW) closed-loop (CL) DPD solution and low-complexity gradient-adaptive parameter learning algorithms, together with a region partitioning method, which can efficiently handle deep compression of the PA units. The impact of beamsteering on the DPD performance is studied, showing strong beam-dependence, thus necessitating frequent updating of the DPD. In order to facilitate fast adaptation, an inexpensive, noniterative, pruning algorithm is introduced, which allows us to significantly reduce the number of model coefficients. The proposed methods are validated with extensive over-the-air RF measurements on a 64-element active antenna array transmitter operating at 28-GHz carrier frequency and transmitting a 400-MHz 5G new radio (NR) standard-compliant orthogonal frequency-division multiplexing waveform. The obtained results demonstrate the excellent linearization capabilities of the proposed solution, conforming to the new 5G NR requirements for frequency range 2 (FR2) in terms of both in-band waveform quality and out-of-band emissions. The proposed PW-CL DPD is shown to outperform the state-of-the-art PW DPD based on the indirect learning architecture, as well as the classical single-polynomial-based DPD solutions in terms of linearization performance and computational complexity by a clear margin.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Telekommunikation (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Telecommunications (hsv//eng)
- NATURVETENSKAP -- Fysik -- Annan fysik (hsv//swe)
- NATURAL SCIENCES -- Physical Sciences -- Other Physics Topics (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Signalbehandling (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Signal Processing (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Annan elektroteknik och elektronik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Other Electrical Engineering, Electronic Engineering, Information Engineering (hsv//eng)
Nyckelord
- piecewise (PW) processing
- over-the-air (OTA) measurements
- Antenna measurements
- digital predistortion (DPD)
- Transmitters
- beamforming
- Array signal processing
- 5G new radio (NR)
- Partitioning algorithms
- Antenna arrays
- Antenna arrays
- closed-loop (CL) learning
- Complexity theory
- nonlinear distortion
- millimeter-wave (mmWave)
- 5G mobile communication
Publikations- och innehållstyp
- art (ämneskategori)
- ref (ämneskategori)
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