Abstract
In the problem of determining a target's location using radio signal time-of-flight to reference nodes with known locations, measurement errors can be skewed because of multipath effects. In this paper, range errors are modelled using the skew-t distribution. An Expectation-Maximisation (EM) algorithm for computing the unknown location is presented, and its accuracy is compared with a descending Gauss-Newton algorithm by simulations. The EM algorithm improves the positioning accuracy significantly. Furthermore, it is shown how to fit the parameters of a skew-t distribution to training data using a Gibbs sampler.
Original language | English |
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Title of host publication | 2015 International Conference on Localization and GNSS (ICL-GNSS) |
Place of Publication | Gothenburg, Sweden |
Publisher | IEEE |
Pages | 1-6 |
Number of pages | 6 |
ISBN (Print) | 9781479998593 |
DOIs | |
Publication status | Published - Jun 2015 |
Publication type | A4 Article in conference proceedings |
Event | International Conference on Localization and GNSS - Duration: 1 Jan 1900 → … |
Conference
Conference | International Conference on Localization and GNSS |
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Period | 1/01/00 → … |
Keywords
- Statistical trilateration
- skew-t distribution
- Localization
- Expectation Maximization
- Gibbs sampler
Publication forum classification
- Publication forum level 1