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Network optimisation and performance analysis of a multistatic acoustic navigation sensor

journal contribution
posted on 2024-11-02, 16:18 authored by Rohan Kapoor, Alessandro GardiAlessandro Gardi, Roberto SabatiniRoberto Sabatini
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.

History

Related Materials

  1. 1.
    DOI - Is published in 10.3390/s20195718
  2. 2.
    ISSN - Is published in 14248220

Journal

Sensors

Volume

20

Number

5718

Issue

19

Start page

1

End page

19

Total pages

19

Publisher

MDPIAG

Place published

Switzerland

Language

English

Copyright

© 2020 by the authors. Licensee MDPI, Basel, Switzerland.

Former Identifier

2006105598

Esploro creation date

2021-04-21

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