Evidence map›Paper›PMID 35214300›Full record

ArticleSensors (Basel, Switzerland)2022

Dual-Beam Steerable TMAs Combining AM and PM Switched Time-Modulation.

Roberto Maneiro-Catoira, Julio Brégains, José A García-Naya, Luis Castedo

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. 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

4 authors.

Roberto Maneiro-CatoiraCITIC Research Center, Department of Computer Engineering, University of A Coruña, Campus de Elviña, 15071 A Coruña, Spain.ORCID 0000-0002-0533-9092
Julio BrégainsCITIC Research Center, Department of Computer Engineering, University of A Coruña, Campus de Elviña, 15071 A Coruña, Spain.ORCID 0000-0002-9381-3259
José A García-NayaCITIC Research Center, Department of Computer Engineering, University of A Coruña, Campus de Elviña, 15071 A Coruña, Spain.ORCID 0000-0002-1944-4678
Luis CastedoCITIC Research Center, Department of Computer Engineering, University of A Coruña, Campus de Elviña, 15071 A Coruña, Spain.ORCID 0000-0002-3801-012X

Funding

Agencia Estatal de Investigación of Spain PID2019-104958RB-C42Agencia Estatal de Investigación of Spain RED2018-102668-TXunta de Galicia ED431C 2020/15Xunta de Galicia ED431G 2019/01
6 · The paper itself

Abstract

Wireless sensor networks (WSN) are increasingly requiring directional antennas that not only provide higher capacity, security, transmission range or robustness against interference, but also contribute with smart antenna capabilities such as adaptive beamforming or multi beam radiation patterns. Standard phased arrays provide these features, but employing feeding networks based on digitally controlled variable phase shifters (VPSs) which have the disadvantage of high cost and limited angular resolution. Instead, time-modulated arrays (TMAs) use switched feeding networks governed by digital periodic sequences which allow harmonic patterns to be radiated and endows (TMAs) with attractive multifunctional capabilities. In this paper, we analyze and properly combine (TMA) switched feeding networks capable of time-modulating an antenna array with discretized amplitude modulation (AM) and phase modulation (PM) waveforms. The advantages of the proposed innovative dual-beam (TMA) with respect to the competing architectures are, on the one hand, its power efficiency and beamsteering (BS) phase sensitivity and, on the other, its hardware simplicity, which allows for an excellent relative cost advantage.

Indexed as

beam steeringmultibeamtime-modulated arrayswireless sensor networks

Identifiers

PMID35214300
PMCPMC8880583

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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.