Improving angle and time estimation for concurrent Ultra-wideband localization through transmitter-side techniques

dc.contributor.advisorGnawali, Omprakash
dc.contributor.committeeMemberLaszka, Aron
dc.contributor.committeeMemberSubhlok, Jaspal
dc.contributor.committeeMemberKim, Kyungki
dc.creatorSmaoui, Nour
dc.date.accessioned2022-06-30T02:06:21Z
dc.date.available2022-06-30T02:06:21Z
dc.date.createdMay 2021
dc.date.issued2021-05
dc.date.submittedMay 2021
dc.date.updated2022-06-30T02:06:22Z
dc.description.abstractMany internet of things (IoT) applications nowadays rely on positioning systems to optimize their decision making. GPS is one of the most used location providers in many of these systems. However, it lacks in accuracy and precision inside buildings. Ultra-wideband (UWB) is becoming a significant localization technology enabler for indoor environments with an accuracy of ∼10 cm. Recent approaches focused on scalability and efficiency by using anchor-side concurrent transmissions (TX) and extracting the time and phase information from the channel impulse response (CIR) of the UWB signal on the receiver side (tag). Concurrent time-based and phase-based localization represent the state-of-the-art techniques for UWB localization. However, when combined with concurrency, they can face many challenges. Concurrent time-based methods currently lack in accuracy due to hardware timing limitations related to channel impulse response (CIR) granularity and transmission (TX) scheduling uncertainty problem. Phase-based techniques solved the accuracy issue as they are independent from timing uncertainties. However, they require the localized targets to have dual-chip devices to calculate the Angle of Arrival (AoA). With a large number of targets to localize, the cost and complexity of the system are expected to increase. In this dissertation, we focus on three main challenges: (1) simplifying the tag complexity through designing a single-antenna tag AoA estimation system by measuring the phase difference from the CIR resulting from intra-anchor concurrency; (2) improving ToA-based concurrent solutions that use large transmission delays by mitigating the pairwise RX precision loss resulting from the TX scheduling uncertainty problem using new transmitter-side techniques in inter-anchor concurrency; (3) Combine inter-anchor and intra-anchor concurrency to provide an accurate, efficient and scalable phase-based and time-based estimation solution that offloads cost and complexity to anchors. In this research, we designed different algorithms and systems. We also proved their performance in real-world via implementation and evaluation on state-of-the-art platforms.
dc.description.departmentComputer Science, Department of
dc.format.digitalOriginborn digital
dc.format.mimetypeapplication/pdf
dc.identifier.citationPortions of this document appear in: Smaoui, Nour, Milad Heydariaan, and Omprakash Gnawail. "Single-antenna aoa estimation with uwb radios." In 2021 IEEE Wireless Communications and Networking Conference (WCNC), pp. 1-7. IEEE, 2021.
dc.identifier.urihttps://hdl.handle.net/10657/10223
dc.language.isoeng
dc.rightsThe author of this work is the copyright owner. UH Libraries and the Texas Digital Library have their permission to store and provide access to this work. UH Libraries has secured permission to reproduce any and all previously published materials contained in the work. Further transmission, reproduction, or presentation of this work is prohibited except with permission of the author(s).
dc.subjectUltra-wideband, Concurrency, Transmitter-side
dc.titleImproving angle and time estimation for concurrent Ultra-wideband localization through transmitter-side techniques
dc.type.dcmiText
dc.type.genreThesis
thesis.degree.collegeCollege of Natural Sciences and Mathematics
thesis.degree.departmentComputer Science, Department of
thesis.degree.disciplineComputer Science
thesis.degree.grantorUniversity of Houston
thesis.degree.levelDoctoral
thesis.degree.nameDoctor of Philosophy

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
SMAOUI-DISSERTATION-2021.pdf
Size:
1.83 MB
Format:
Adobe Portable Document Format

License bundle

Now showing 1 - 2 of 2
No Thumbnail Available
Name:
PROQUEST_LICENSE.txt
Size:
4.43 KB
Format:
Plain Text
Description:
No Thumbnail Available
Name:
LICENSE.txt
Size:
1.81 KB
Format:
Plain Text
Description: