ARABIS: an Asynchronous Acoustic Indoor Positioning System for Mobile Devices
| dc.contributor.advisor | Zheng, Rong | |
| dc.contributor.advisor | Zhao, Dongmei | |
| dc.contributor.author | Wang, Yu-Ting | |
| dc.contributor.department | Electrical and Computer Engineering | en_US |
| dc.date.accessioned | 2018-10-16T19:18:06Z | |
| dc.date.available | 2018-10-16T19:18:06Z | |
| dc.date.issued | 2018-11 | |
| dc.description.abstract | Acoustic ranging based indoor positioning solutions have the advantage of higher ranging accuracy and better compatibility with commercial-off-the-self consumer devices. However, similar to other time-domain based approaches using Time-of-Arrival (ToA) and Time-Difference-of-Arrival (TDoA), they suffer from performance degradation in the presence of multi-path propagation and low received signal-to-noise ratio (SNR) in indoor environments. In this thesis, we present ARABIS, a robust and low-cost acoustic indoor positioning system (IPS) for mobile devices using an asynchronous TDoA-based solution. We develop a low-cost acoustic board custom-designed to support large operational ranges and extensibility. To mitigate the effects of low SNR and multi-path propagation, we devise robust algorithms that iteratively remove possible outliers by taking advantage of redundant TDoA estimates. Experiments have been carried out in two testbeds of sizes 10.67m × 7.76m and 15m × 15m, one in an academic building and one in a convention center. The proposed system achieves average and 95% quantile localization errors of 7.4cm and 16.0cm in the first testbed with 8 anchor nodes and average and 95% quantile localization errors of 20.4cm and 40.0cm in the second testbed with 4 anchor nodes only. | en_US |
| dc.description.degree | Master of Applied Science (MASc) | en_US |
| dc.description.degreetype | Thesis | en_US |
| dc.identifier.uri | http://hdl.handle.net/11375/23378 | |
| dc.language.iso | en | en_US |
| dc.title | ARABIS: an Asynchronous Acoustic Indoor Positioning System for Mobile Devices | en_US |
| dc.type | Thesis | en_US |