Evidence map›Paper›PMID 37766051›Full record

ArticleSensors (Basel, Switzerland)2023

Accurate and Low-Power Ultrasound-Radiofrequency (RF) Indoor Ranging Using MEMS Loudspeaker Arrays.

Chesney Buyle, Lieven De Strycker, Liesbet Van der Perre

Open access · goldAbstract 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
0.3field-weighted citation impact, top 46% of its field
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, 2 citations in OpenAlex.

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

3 authors at 1 institution in 1 country.

Chesney BuyleKU Leuven, WaveCore, Department of Electrical Engineering (ESAT), Ghent Technology Campus, 9000 Ghent, Belgium.ORCID 0000-0002-9651-3964
Lieven De StryckerKU Leuven, WaveCore, Department of Electrical Engineering (ESAT), Ghent Technology Campus, 9000 Ghent, Belgium.ORCID 0000-0001-8172-9650
Liesbet Van der PerreKU Leuven, WaveCore, Department of Electrical Engineering (ESAT), Ghent Technology Campus, 9000 Ghent, Belgium.ORCID 0000-0002-9158-9628
KU Leuven · BE

Funding

Research Foundation - Flanders 90D3819N
6 · The paper itself

Abstract

Accurately positioning energy-constrained devices in indoor environments is of great interest to many professional, care, and personal applications. Hybrid RF-acoustic ranging systems have shown to be a viable technology in this regard, enabling accurate distance measurements at ultra-low energy costs. However, they often suffer from self-interference due to multipaths in indoor environments. We replace the typical single loudspeaker beacons used in these systems with a phased loudspeaker array to promote the signal-to-interference-plus-noise ratio towards the tracked device. Specifically, we optimize the design of a low-cost uniform planar array (UPA) through simulation to achieve the best ranging performance using ultrasonic chirps. Furthermore, we compare the ranging performance of this optimized UPA configuration to a traditional, single-loudspeaker system. Simulations show that vertical phased-array configurations guarantee the lowest ranging errors in typical shoe-box environments, having a limited height with respect to their length and width. In these cases, a P50 ranging error of around 3 cm and P95 ranging error below 30 cm were achieved. Compared to a single-speaker system, a 10 × 2 vertical phased array was able to lower the P80 and P95 up to an order of magnitude.

Indexed as

indoor positioninglow powerMEMSphased loudspeaker arrayultrasound

Identifiers

PMID37766051
PMCPMC10534700
OpenAlexW4386880204

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.