Robust Algorithm for Classification and Rejection of NLOS Signals in Narrowband Ultrasonic Localisation Systems
- Submitting institution
-
University of South Wales / Prifysgol De Cymru
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 3335807
- Type
- D - Journal article
- DOI
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10.1109/TIM.2018.2853878
- Title of journal
- IEEE Transactions on Instrumentation and Measurement
- Article number
- -
- First page
- 646
- Volume
- 68
- Issue
- 3
- ISSN
- 0018-9456
- Open access status
- Deposit exception
- Month of publication
- August
- Year of publication
- 2018
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
-
4
- Research group(s)
-
E - Biomedical Computing
- Citation count
- 9
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Interdisciplinary research in collaboration with NHS and funded by KESS. The new approach uses a combination of Bayesian probability and iteratively reweighted least squares method to deal with severe multipath effect in indoor positioning systems at low computational cost. This research provides theoretical underpinnings for the new non-invasive medical device for measurement of anatomical landmarks, in which robust rejection of reflected signals is an essential component. The device concept was first presented at MeMeA 2016 conference. The algorithm was recently extended, and published at I2MTC 2019 conference to include the new capability of mitigating the effect of obstacles.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -