Mitigating the Effect of Obstacles in Narrowband Ultrasonic Localization Systems

Sebastian Haigh; Janusz Kulon; Adam Partlow; Paul Rogers; Colin Gibson

doi:10.1109/I2MTC.2019.8827132

Mitigating the Effect of Obstacles in Narrowband Ultrasonic Localization Systems

Sebastian Haigh, Janusz Kulon, Adam Partlow, Paul Rogers, Colin Gibson

Computer Science and Informatics Research and Innovation Group

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Abstract

This paper develops a method for mitigating the negative effects of obstacles in narrowband, time division multiple access (TDMA), ultrasonic localization systems. The method builds upon the robust Bayesian classifier for ultrasonic localization (RoBCUL) algorithm which utilizes an iteratively reweighted least squares (IRLS) scheme. This algorithm has the advantage of low computational cost but loses performance in the presence of obstacles. The improved version of the RoBCUL algorithm presented in this paper uses a statistical test applied after each iteration of the regression, using a weighted residual vector calculated from the weight matrix and residual vector. The technique was tested using experimental data with its performance being quantified by its ability to correctly classify all the signals received during a single TDMA cycle. The extended version performed significantly better in all obstacle scenarios than the original, correctly classifying 100% of TDMA cycles in the scenarios with no obstacles, 97.6% with one obstacle, and 89.0% with two obstacles.

Original language	English
Title of host publication	Proceedings of the 2019 IEEE International Instrumentation & Measurement Technology Conference
Subtitle of host publication	The Lords of the IMS - Expanding the Frontiers of Metrology Innovations 20/05/19 → 23/05/19 Auckland, New Zealand
Publisher	Institute of Electrical and Electronics Engineers
Number of pages	5
ISBN (Electronic)	978-1-5386-3460-8, 978-1-5386-3461-5
DOIs	https://doi.org/10.1109/I2MTC.2019.8827132
Publication status	Published - 9 Sep 2019
Event	2019 IEEE International Instrumentation & Measurement Technology Conference : The Lords of the IMS - Expanding the Frontiers of Metrology Innovations - Grand Millennium Auckland , Auckland, New Zealand Duration: 20 May 2019 → 23 May 2019 https://i2mtc2019.ieee-ims.org/

Publication series

Name
ISSN (Electronic)	2642-2077

Conference

Conference	2019 IEEE International Instrumentation & Measurement Technology Conference
Abbreviated title	IEEE I2MTC 2019
Country/Territory	New Zealand
City	Auckland
Period	20/05/19 → 23/05/19
Internet address	https://i2mtc2019.ieee-ims.org/

Keywords

Least squares methods
Bayes methods
Position measurements
reflection
Ultrasonic transducers

Access to Document

10.1109/I2MTC.2019.8827132Licence: CC BY-NC-ND

Kulon I2MTC 2019Accepted author manuscript, 544 KBLicence: CC BY-NC-ND

Cite this

Haigh, S., Kulon, J., Partlow, A., Rogers, P., & Gibson, C. (2019). Mitigating the Effect of Obstacles in Narrowband Ultrasonic Localization Systems. In Proceedings of the 2019 IEEE International Instrumentation & Measurement Technology Conference : The Lords of the IMS - Expanding the Frontiers of Metrology Innovations 20/05/19 → 23/05/19 Auckland, New Zealand Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/I2MTC.2019.8827132

Haigh, Sebastian ; Kulon, Janusz ; Partlow, Adam et al. / Mitigating the Effect of Obstacles in Narrowband Ultrasonic Localization Systems. Proceedings of the 2019 IEEE International Instrumentation & Measurement Technology Conference : The Lords of the IMS - Expanding the Frontiers of Metrology Innovations 20/05/19 → 23/05/19 Auckland, New Zealand. Institute of Electrical and Electronics Engineers, 2019.

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title = "Mitigating the Effect of Obstacles in Narrowband Ultrasonic Localization Systems",

abstract = "This paper develops a method for mitigating the negative effects of obstacles in narrowband, time division multiple access (TDMA), ultrasonic localization systems. The method builds upon the robust Bayesian classifier for ultrasonic localization (RoBCUL) algorithm which utilizes an iteratively reweighted least squares (IRLS) scheme. This algorithm has the advantage of low computational cost but loses performance in the presence of obstacles. The improved version of the RoBCUL algorithm presented in this paper uses a statistical test applied after each iteration of the regression, using a weighted residual vector calculated from the weight matrix and residual vector. The technique was tested using experimental data with its performance being quantified by its ability to correctly classify all the signals received during a single TDMA cycle. The extended version performed significantly better in all obstacle scenarios than the original, correctly classifying 100% of TDMA cycles in the scenarios with no obstacles, 97.6% with one obstacle, and 89.0% with two obstacles.",

keywords = "Least squares methods, Bayes methods, Position measurements, reflection, Ultrasonic transducers",

author = "Sebastian Haigh and Janusz Kulon and Adam Partlow and Paul Rogers and Colin Gibson",

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doi = "10.1109/I2MTC.2019.8827132",

language = "English",

publisher = "Institute of Electrical and Electronics Engineers",

booktitle = "Proceedings of the 2019 IEEE International Instrumentation & Measurement Technology Conference",

note = "2019 IEEE International Instrumentation & Measurement Technology Conference : The Lords of the IMS - Expanding the Frontiers of Metrology Innovations , IEEE I2MTC 2019 ; Conference date: 20-05-2019 Through 23-05-2019",

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Haigh, S, Kulon, J, Partlow, A, Rogers, P & Gibson, C 2019, Mitigating the Effect of Obstacles in Narrowband Ultrasonic Localization Systems. in Proceedings of the 2019 IEEE International Instrumentation & Measurement Technology Conference : The Lords of the IMS - Expanding the Frontiers of Metrology Innovations 20/05/19 → 23/05/19 Auckland, New Zealand. Institute of Electrical and Electronics Engineers, 2019 IEEE International Instrumentation & Measurement Technology Conference , Auckland, New Zealand, 20/05/19. https://doi.org/10.1109/I2MTC.2019.8827132

Mitigating the Effect of Obstacles in Narrowband Ultrasonic Localization Systems. / Haigh, Sebastian; Kulon, Janusz; Partlow, Adam et al.

Proceedings of the 2019 IEEE International Instrumentation & Measurement Technology Conference : The Lords of the IMS - Expanding the Frontiers of Metrology Innovations 20/05/19 → 23/05/19 Auckland, New Zealand. Institute of Electrical and Electronics Engineers, 2019.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - Mitigating the Effect of Obstacles in Narrowband Ultrasonic Localization Systems

AU - Haigh, Sebastian

AU - Kulon, Janusz

AU - Partlow, Adam

AU - Rogers, Paul

AU - Gibson, Colin

PY - 2019/9/9

Y1 - 2019/9/9

N2 - This paper develops a method for mitigating the negative effects of obstacles in narrowband, time division multiple access (TDMA), ultrasonic localization systems. The method builds upon the robust Bayesian classifier for ultrasonic localization (RoBCUL) algorithm which utilizes an iteratively reweighted least squares (IRLS) scheme. This algorithm has the advantage of low computational cost but loses performance in the presence of obstacles. The improved version of the RoBCUL algorithm presented in this paper uses a statistical test applied after each iteration of the regression, using a weighted residual vector calculated from the weight matrix and residual vector. The technique was tested using experimental data with its performance being quantified by its ability to correctly classify all the signals received during a single TDMA cycle. The extended version performed significantly better in all obstacle scenarios than the original, correctly classifying 100% of TDMA cycles in the scenarios with no obstacles, 97.6% with one obstacle, and 89.0% with two obstacles.

AB - This paper develops a method for mitigating the negative effects of obstacles in narrowband, time division multiple access (TDMA), ultrasonic localization systems. The method builds upon the robust Bayesian classifier for ultrasonic localization (RoBCUL) algorithm which utilizes an iteratively reweighted least squares (IRLS) scheme. This algorithm has the advantage of low computational cost but loses performance in the presence of obstacles. The improved version of the RoBCUL algorithm presented in this paper uses a statistical test applied after each iteration of the regression, using a weighted residual vector calculated from the weight matrix and residual vector. The technique was tested using experimental data with its performance being quantified by its ability to correctly classify all the signals received during a single TDMA cycle. The extended version performed significantly better in all obstacle scenarios than the original, correctly classifying 100% of TDMA cycles in the scenarios with no obstacles, 97.6% with one obstacle, and 89.0% with two obstacles.

KW - Least squares methods

KW - Bayes methods

KW - Position measurements

KW - reflection

KW - Ultrasonic transducers

U2 - 10.1109/I2MTC.2019.8827132

DO - 10.1109/I2MTC.2019.8827132

M3 - Conference contribution

BT - Proceedings of the 2019 IEEE International Instrumentation & Measurement Technology Conference

PB - Institute of Electrical and Electronics Engineers

T2 - 2019 IEEE International Instrumentation & Measurement Technology Conference

Y2 - 20 May 2019 through 23 May 2019

ER -

Haigh S, Kulon J, Partlow A, Rogers P, Gibson C. Mitigating the Effect of Obstacles in Narrowband Ultrasonic Localization Systems. In Proceedings of the 2019 IEEE International Instrumentation & Measurement Technology Conference : The Lords of the IMS - Expanding the Frontiers of Metrology Innovations 20/05/19 → 23/05/19 Auckland, New Zealand. Institute of Electrical and Electronics Engineers. 2019 doi: 10.1109/I2MTC.2019.8827132

Mitigating the Effect of Obstacles in Narrowband Ultrasonic Localization Systems

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