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 | |
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 |
Keywords
- Least squares methods
- Bayes methods
- Position measurements
- reflection
- Ultrasonic transducers