Evidence map›Paper›PMID 31635229›Full record

ArticleSensors (Basel, Switzerland)2019

Numerical Optimization of a Fully Cross-Coupled Rectifier Circuit for Wireless Passive Ultra Low Power Sensor Nodes.

Dominik Mair, Manuel Ferdik, Christof Happ, Michael Renzler, Thomas Ussmueller

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Dominik MairMicroelectronics and Implantable Systems Group, Department of Mechatronics, University of Innsbruck, 6020 Innsbruck, Austria. dominik.mair@uibk.ac.at.ORCID 0000-0002-3969-3516
Manuel FerdikMicroelectronics and Implantable Systems Group, Department of Mechatronics, University of Innsbruck, 6020 Innsbruck, Austria. manuel.ferdik@uibk.ac.at.ORCID 0000-0001-8165-6009
Christof HappMicroelectronics and Implantable Systems Group, Department of Mechatronics, University of Innsbruck, 6020 Innsbruck, Austria. happchristof@gmail.com.
Michael RenzlerMicroelectronics and Implantable Systems Group, Department of Mechatronics, University of Innsbruck, 6020 Innsbruck, Austria. michael.renzler@uibk.ac.at.ORCID 0000-0002-9411-5460
Thomas UssmuellerMicroelectronics and Implantable Systems Group, Department of Mechatronics, University of Innsbruck, 6020 Innsbruck, Austria. thomas.ussmueller@uibk.ac.at.ORCID 0000-0001-7174-4670

Funding

Österreichische Forschungsförderungsgesellschaft 859218
6 · The paper itself

Abstract

In the context of the Internet of Things, billions of devices-especially sensors-will be linked together in the next few years. A core component of wireless passive sensor nodes is the rectifier, which has to provide the circuit with sufficient operating voltage. In these devices, the rectifier has to be as energy efficient as possible in order to guarantee an optimal operation. Therefore, a numerical optimization scheme is proposed in this paper, which is able to find a unique optimal solution for an integrated Complementary Metal-Oxide-Semiconductor (CMOS) rectifier circuit with Self-Vth-Cancellation (SVC). An exploration of the parameter space is carried out in order to generate a meaningful target function for enhancing the rectified power for a fixed communication distance. In this paper, a mean conversion efficiency is introduced, which is a more valid target function for optimization than the Voltage Conversion Efficiency (VCE) and the commonly used Power Conversion Efficiency (PCE) and is defined as the arithmetic mean between PCE and VCE. Various trade-offs between output voltage, PCE, VCE and MCE are shown, which provide valuable information for low power rectifier designs. With the proposed method, a rectifier in a low power 55 nm process from Globalfoundries (GF55LPe) is optimized and simulated at -30 dBm input power. A mean PCE of 63.33% and a mean VCE of 63.40% is achieved.

Indexed as

circuit optimizationconjugate gradientimpedance matchinginternet of thingslow-power electronicspower conversion efficiencyradio frequency identificationrectifiervoltage conversion efficiencywireless power transmissionwireless sensors

Identifiers

PMID31635229
PMCPMC6833047

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.