Evidence map›Paper›PMID 36992067›Full record

ArticleSensors (Basel, Switzerland)2023

Direction of Arrival Method for L-Shaped Array with RF Switch: An Embedded Implementation Perspective.

Tiago Troccoli, Juho Pirskanen, Jari Nurmi, Aleksandr Ometov, Jorge Morte, Elena Simona Lohan, Ville Kaseva

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. 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

7 authors.

Tiago TroccoliFaculty of Information Technology and Communication Sciences, Tampere University, 33720 Tampere, Finland.ORCID 0000-0003-0022-2589
Juho PirskanenWIREPAS Ltd., 33720 Tampere, Finland.ORCID 0000-0002-8694-3944
Jari NurmiFaculty of Information Technology and Communication Sciences, Tampere University, 33720 Tampere, Finland.ORCID 0000-0003-2169-4606
Aleksandr OmetovFaculty of Information Technology and Communication Sciences, Tampere University, 33720 Tampere, Finland.ORCID 0000-0003-3412-1639
Jorge MorteWIREPAS Ltd., 33720 Tampere, Finland.ORCID 0000-0003-1468-2404
Elena Simona LohanFaculty of Information Technology and Communication Sciences, Tampere University, 33720 Tampere, Finland.ORCID 0000-0003-1718-6924
Ville KasevaWIREPAS Ltd., 33720 Tampere, Finland.ORCID 0000-0002-5592-4476

Funding

European Union's Horizon 2020 (H2020) Marie Sklodowska-Curie Innovative Training Network 956090
6 · The paper itself

Abstract

This paper addresses the challenge of implementing Direction of Arrival (DOA) methods for indoor localization using Internet of Things (IoT) devices, particularly with the recent direction-finding capability of Bluetooth. DOA methods are complex numerical methods that require significant computational resources and can quickly deplete the batteries of small embedded systems typically found in IoT networks. To address this challenge, the paper presents a novel Unitary R-D Root MUSIC for L-shaped arrays that is tailor-made for such devices utilizing a switching protocol defined by Bluetooth. The solution exploits the radio communication system design to speed up execution, and its root-finding method circumvents complex arithmetic despite being used for complex polynomials. The paper carries out experiments on energy consumption, memory footprint, accuracy, and execution time in a commercial constrained embedded IoT device series without operating systems and software layers to prove the viability of the implemented solution. The results demonstrate that the solution achieves good accuracy and attains an execution time of a few milliseconds, making it a viable solution for DOA implementation in IoT devices.

Indexed as

array signal processingDirection of Arrival (DOA)embedded systemsInternet of Things (IoT)Multiple Signal Classification (MUSIC)

Identifiers

PMID36992067
PMCPMC10052917

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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.