Evidence map›Paper›PMID 35161711›Full record

ArticleSensors (Basel, Switzerland)2022

Study of Generalized Phase Spectrum Time Delay Estimation Method for Source Positioning in Small Room Acoustic Environment.

Vladimir Faerman, Valeriy Avramchuk, Kirill Voevodin, Ivan Sidorov, Evgeny Kostyuchenko

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

5 authors.

Vladimir FaermanLaboratory for Acquisition, Processing and Manipulating Biological Signals, Institute of System Integration and Security, Tomsk State University of Control Systems and Radioelectronics, 40 Lenina Ave., 634050 Tomsk, Russia.ORCID 0000-0002-9643-0245
Valeriy AvramchukDepartment of Complex Information Security of Computer Systems, Faculty of Security, Tomsk State University of Control Systems and Radioelectronics, 40 Lenina Ave., 634050 Tomsk, Russia.
Kirill VoevodinDepartment of Complex Information Security of Computer Systems, Faculty of Security, Tomsk State University of Control Systems and Radioelectronics, 40 Lenina Ave., 634050 Tomsk, Russia.
Ivan SidorovIrkutsk Supercomputer Center of SB RAS, 134, Lermontova, 664033 Irkutsk, Russia.
Evgeny KostyuchenkoLaboratory for Acquisition, Processing and Manipulating Biological Signals, Institute of System Integration and Security, Tomsk State University of Control Systems and Radioelectronics, 40 Lenina Ave., 634050 Tomsk, Russia.ORCID 0000-0001-8000-2716

Funding

The Ministry of Education and Science of the Russian Federation FEWM-2020-0042 (АААА-А20-120111190016-9)
6 · The paper itself

Abstract

This paper considers the application of signal processing methods to passive indoor positioning with acoustics microphones. The key aspect of this problem is time-delay estimation (TDE) that is used to get the time difference of arrival of the source's signal between the pair of distributed microphones. This paper studies the approach based on generalized phase spectrum (GPS) TDE methods. These methods use frequency-domain information about the received signals that make them different from widely applied generalized cross-correlation (GCC) methods. Despite the more challenging implementation, GPS TDE methods can be less demanding on computational resources and memory than conventional GCC ones. We propose an algorithmic implementation of a GPS estimator and study the various frequency weighting options in applications to TDE in a small room acoustic environment. The study shows that the GPS method is a reliable option for small acoustically dead rooms and could be effectively applied in presence of moderate in-band noises. However, GPS estimators are far less efficient in less acoustically dead environments, where other TDE options should be considered. The distinguishing feature of the proposed solution is the ability to get the time delay using a limited number of the adjusted bins. The solution could be useful for passively locating moving emitters of narrow-band continual noises using computationally simple frequency detection algorithms.

Indexed as

AcousticsSignal Processing, Computer-AssistedAlgorithmsNoisegeneralized phase spectrumindoor positioningroom acousticssensors arraytime delay estimation

Identifiers

PMID35161711
PMCPMC8838542

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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.