Network Optimisation and Performance Analysis of a Multistatic Acoustic Navigation Sensor.

acoustic autonomous vehicle indoor navigation multistatic positioning ultrasonic unmanned aircraft systems unmanned ground vehicle urban canyon

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
08 Oct 2020
Historique:
received: 13 08 2020
revised: 04 10 2020
accepted: 05 10 2020
entrez: 14 10 2020
pubmed: 15 10 2020
medline: 15 10 2020
Statut: epublish

Résumé

This paper addresses some of the existing research gaps in the practical use of acoustic waves for navigation of autonomous air and surface vehicles. After providing a characterisation of ultrasonic transducers, a multistatic sensor arrangement is discussed, with multiple transmitters broadcasting their respective signals in a round-robin fashion, following a time division multiple access (TDMA) scheme. In particular, an optimisation methodology for the placement of transmitters in a given test volume is presented with the objective of minimizing the position dilution of precision (PDOP) and maximizing the sensor availability. Additionally, the contribution of platform dynamics to positioning error is also analysed in order to support future ground and flight vehicle test activities. Results are presented of both theoretical and experimental data analysis performed to determine the positioning accuracy attainable from the proposed multistatic acoustic navigation sensor. In particular, the ranging errors due to signal delays and attenuation of sound waves in air are analytically derived, and static indoor positioning tests are performed to determine the positioning accuracy attainable with different transmitter-receiver-relative geometries. Additionally, it is shown that the proposed transmitter placement optimisation methodology leads to increased accuracy and better coverage in an indoor environment, where the required position, velocity, and time (PVT) data cannot be delivered by satellite-based navigation systems.

Identifiants

pubmed: 33050037
pii: s20195718
doi: 10.3390/s20195718
pmc: PMC7582715
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Références

Sensors (Basel). 2016 Oct 08;16(10):
pubmed: 27740604
Sensors (Basel). 2018 Feb 07;18(2):
pubmed: 29414894

Auteurs

Rohan Kapoor (R)

RMIT University-School of Engineering, Bundoora, VIC 3000, Australia.

Alessandro Gardi (A)

RMIT University-School of Engineering, Bundoora, VIC 3000, Australia.

Roberto Sabatini (R)

RMIT University-School of Engineering, Bundoora, VIC 3000, Australia.

Classifications MeSH