Evidence map›Paper›PMID 38793174›Full record

ArticleMicromachines2024

Design of a Compact 2-6 GHz High-Efficiency and High-Gain GaN Power Amplifier.

Yongchun Zhou, Shuai Wang, Junyan Dai, Jiang Luo, Qiang Cheng

Abstract read
In one paragraph

Article in Micromachines, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Yongchun ZhouState Key Laboratory of Millimeter Waves, Southeast University, Nanjing 210096, China.
Shuai WangSchool of Electronic Science and Engineering, Nanjing University, Nanjing 210096, China.
Junyan DaiState Key Laboratory of Millimeter Waves, Southeast University, Nanjing 210096, China.
Jiang LuoState Key Laboratory of Millimeter Waves, Southeast University, Nanjing 210096, China.
Qiang ChengState Key Laboratory of Millimeter Waves, Southeast University, Nanjing 210096, China.

Funding

Fundamental Research Funds for the Central Universities 2242022k60003Jiangsu Province Frontier Leading Technology Basic Research Project BK20212002National Key Research and Development Program of China 2023YFB3811502, 2023YFB3811503, 2018YFA0701904National Natural Science Foundation of China 62288101, 62201139National Science Foundation (NSFC) for Distinguished Young Scholars of China 62225108Program of Song Shan Laboratory 221100211300-02, 221100211300-03Southeast University - China Mobile Research Institute Joint Innovation Center R202111101112JZC02
6 · The paper itself

Abstract

In this paper, a novel wideband power amplifier (PA) operating in the 2-6 GHz frequency range is presented. The proposed PA design utilizes a combination technique consisting of a distributed equalization technique, multiplexing the power supply network and matching network technique, an LR dissipative structure, and an RC stability network technique to achieve significant bandwidth while maintaining superior gain flatness, high efficiency, high gain, and compact size. For verification, a three-stage PA using the combination technique is designed and implemented in a 0.25 μm GaN high-electron-mobility transistor (HEMT) process. The fabricated prototype demonstrates a saturated output power of 4 W, a power gain of 21 dB, a gain flatness of ±0.6 dB, a power-added efficiency of 39-46%, and a fractional bandwidth of 100% under the operating conditions of drain voltage 28 V (continuous wave) and gate voltage -2.6 V. Moreover, the chip occupies a compact size of only 2.51 mm × 1.97 mm.

Indexed as

GaNhigh efficiencypower amplifierultra-wideband

Identifiers

PMID38793174
PMCPMC11123266

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.