L
Long Chen
Researcher at Tsinghua University
Publications - 35
Citations - 337
Long Chen is an academic researcher from Tsinghua University. The author has contributed to research in topics: Predistortion & Amplifier. The author has an hindex of 5, co-authored 26 publications receiving 154 citations.
Papers
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Journal ArticleDOI
Beam-Oriented Digital Predistortion for 5G Massive MIMO Hybrid Beamforming Transmitters
TL;DR: A beam-oriented digital predistortion (BO-DPD) technique for power amplifiers (PAs) in hybrid beamforming massive multiple-input multiple-output (MIMO) transmitters, which can achieve linearization of the transmitted signal in the main beam direction and address the DPD implementation issue in the hybridbeamforming array.
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Linearization for Hybrid Beamforming Array Utilizing Embedded Over-the-Air Diversity Feedbacks
TL;DR: A modified beam-oriented digital predistortion utilizing the over-the-air diversity feedbacks (OTA DFBs) is proposed for linearizing the hybrid beamforming (HBF) large-scale array and better than 15-dB adjacent channel power ratio (ACPR) improvement has been realized with the proposed DPD.
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Power Scalable Beam-Oriented Digital Predistortion for Compact Hybrid Massive MIMO Transmitters
TL;DR: A power scalable beam-oriented digital predistortion (PSBO-DPD) architecture suitable for linearizing PAs in compact hybrid massive multiple-input multiple-output (MIMO) transmitters, without the need to implement a dedicated observation path for each PA is proposed.
Journal ArticleDOI
A Robust and Scalable Harmonic Cancellation Digital Predistortion Technique for HF Transmitters
TL;DR: A uniform complex-valued Hilbert transform-based polynomial (HTBP) function is proposed for the modeling of the harmonics, as well as the fundamental component in the real-valued input and output signals.
Journal ArticleDOI
Hybrid Harmonic Cancellation Digital Predistortion With a Feedback Loop Compensation
TL;DR: Experimental results validate that the proposed HHC-DPD scheme with the FLC outperforms current harmonic cancellation approaches and the non-convergence issue in iterations can be avoided.