Evidence map›Paper›PMID 42356876›Full record

ArticleSensors (Basel, Switzerland)2026

Dual RF Input Envelope Tracking Power Amplifier with Enhanced Load Modulation for Power-Efficiency-Linearity Trade-Off.

Marco Badii, Giovanni Lasagni, Monica Righini, Giovanni Collodi, Stefano Maddio, Alessandro Cidronali

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2026. 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

6 authors.

Marco BadiiDepartment of Information Engineering, University of Florence, Via di Santa Marta, 3, 50139 Florence, Italy.ORCID 0009-0007-9436-5439
Giovanni LasagniDepartment of Information Engineering, University of Florence, Via di Santa Marta, 3, 50139 Florence, Italy.ORCID 0009-0004-4032-6221
Monica RighiniDepartment of Information Engineering, University of Florence, Via di Santa Marta, 3, 50139 Florence, Italy.ORCID 0000-0001-5418-4704
Giovanni CollodiDepartment of Information Engineering, University of Florence, Via di Santa Marta, 3, 50139 Florence, Italy.ORCID 0000-0003-4507-6888
Stefano MaddioDepartment of Information Engineering, University of Florence, Via di Santa Marta, 3, 50139 Florence, Italy.ORCID 0000-0002-4481-1791
Alessandro CidronaliDepartment of Information Engineering, University of Florence, Via di Santa Marta, 3, 50139 Florence, Italy.ORCID 0000-0002-1064-7305

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this paper, we present an optimized driving strategy for a dual RF input envelope tracking power amplifier (ET PA) exploiting load modulation. The dual-input architecture enables dynamic load modulation (LM), allowing real-time adjustment of the load impedance to enhance performance over the signal dynamics typical of digital modulation schemes. The proposed approach considers a GaN HEMT-based LM-ET PA characterized under pulsed excitation across multiple amplitude and phase conditions of the load modulation control. Optimizing the control parameters yields a suitable shaping function that extends conventional ET supply modulation to include amplitude and phase control of the auxiliary amplifier, thereby improving the efficiency, output power, and linearity of the main amplifier. Experimental data demonstrate that the proposed dual RF input GaN-based LM-ET PA at 3.6 GHz outperforms a conventional ET PA in both efficiency and linearity when tested with high peak-to-average ratio (PAPR) signals.

Indexed as

dual RF input PAenvelope trackingGaN power amplifierload modulation

Identifiers

PMID42356876
PMCPMC13306943

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.