Audio Source Positioning Based on Angle of Arrival Measurements Using Particle Filter
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Details
| Original language | English |
|---|---|
| Title of host publication | 2020 International Conference on Localization and GNSS (ICL-GNSS) |
| Place of Publication | Tampere |
| Pages | 1-6 |
| Number of pages | 6 |
| ISBN (Electronic) | 978-1-7281-6455-7 |
| DOIs | |
| Publication status | Published - 12 Jun 2020 |
| Publication type | A4 Article in a conference publication |
| Event | International Conference on Localization and GNSS - Duration: 2 Jun 2020 → 4 Jun 2020 |
Publication series
| Name | International Conference on Localization and GNSS (ICL-GNSS) |
|---|---|
| Publisher | IEEE |
| ISSN (Print) | 2325-0747 |
| ISSN (Electronic) | 2325-0771 |
Conference
| Conference | International Conference on Localization and GNSS |
|---|---|
| Period | 2/06/20 → 4/06/20 |
Abstract
This paper presents a numerical approach to the audio source positioning problem using microphones available in mobile devices. The proposed solution is a particle filter. The algorithm accuracy was tested with four different datasets, two measured in an anechoic chamber and two in a listening room. The particle filters smoothing parameter and measurement noise variance are estimated offline. The results show that this algorithm is able to position the audio source well in quiet environments.
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Field of science, Statistics Finland
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