Welcome to the upgraded MacSphere! We're putting the finishing touches on it; if you notice anything amiss, email macsphere@mcmaster.ca

ARABIS: an Asynchronous Acoustic Indoor Positioning System for Mobile Devices

dc.contributor.advisorZheng, Rong
dc.contributor.advisorZhao, Dongmei
dc.contributor.authorWang, Yu-Ting
dc.contributor.departmentElectrical and Computer Engineeringen_US
dc.date.accessioned2018-10-16T19:18:06Z
dc.date.available2018-10-16T19:18:06Z
dc.date.issued2018-11
dc.description.abstractAcoustic 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.degreeMaster of Applied Science (MASc)en_US
dc.description.degreetypeThesisen_US
dc.identifier.urihttp://hdl.handle.net/11375/23378
dc.language.isoenen_US
dc.titleARABIS: an Asynchronous Acoustic Indoor Positioning System for Mobile Devicesen_US
dc.typeThesisen_US

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
wang_yu-ting_201712_MASc.pdf
Size:
5.21 MB
Format:
Adobe Portable Document Format

License bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
1.68 KB
Format:
Item-specific license agreed upon to submission
Description: