Evidence map›Paper›PMID 35630260›Full record

ArticleMicromachines2022

A Wideband High-Efficiency GaN MMIC Power Amplifier for Sub-6-GHz Applications.

Liulin Hu, Xuejie Liao, Fan Zhang, Haifeng Wu, Shenglin Ma, Qian Lin, Xiaohong Tang

Abstract read
In one paragraph

Article in Micromachines, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
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

7 authors.

Liulin HuSchool of Electronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China.
Xuejie LiaoChengdu Ganide Technology Company, Ltd., Chengdu 610220, China.
Fan ZhangChengdu Ganide Technology Company, Ltd., Chengdu 610220, China.ORCID 0000-0001-6500-1598
Haifeng WuChengdu Ganide Technology Company, Ltd., Chengdu 610220, China.
Shenglin MaDepartment of Mechanical and Electrical Engineering, Xiamen University, Xiamen 361005, China.
Qian LinSchool of Physics and Electronic Information Engineering, Qinghai Minzu University, Xining 810007, China.ORCID 0000-0002-7466-7313
Xiaohong TangSchool of Electronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China.ORCID 0000-0001-9799-4109

Funding

National Natural Science Foundation 62161046Natural Science Foundation of Qinghai Province 2021﹣ZJ﹣910
6 · The paper itself

Abstract

The monolithic microwave integrated circuit (MMIC) power amplifiers serve an essential and critical role in RF transmit/receive (T/R) modules of phased array radar systems, mobile communication systems and satellite systems. Over recent years, there has been an increasing requirement to develop wideband high-efficiency MMIC high power amplifiers (HPAs) to accommodate wideband operation and reduce power consumption. This paper presents a wideband high efficiency MMIC HPA for Sub-6-GHz applications using a 0.25-μm gate-length D-mode GaN/SiC high electron mobility transistor (HEMT) process. The amplifier consists of two stages with two HEMT cells for the driver stage and eight HEMT cells for the power stage. To obtain a flat gain while maintaining the wideband characteristic, a gain equalization technique is employed in the inter-stage matching circuit. Meanwhile, a low-loss output matching network is utilized to ensure high efficiency. The fabricated HPA occupies a compact chip area of 14.35 mm

Indexed as

GaN/SiC HEMThigh efficiencyMMICpower amplifierSub-6-GHz

Identifiers

PMID35630260
PMCPMC9145704

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.