[Defense] Concurrent UWB localization: a scalable, efficient, cost-effective and accurate approach
Thursday, November 12, 2020
2:30 pm - 3:30 pm
In Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy
will defend his proposal
Concurrent UWB localization: a scalable, efficient, cost-effective and accurate approach
Many internet of things (IoT) applications nowadays rely on positioning systems to optimize their decision making. GPS is considered one of the most used location providers in many of these systems. However, inside buildings, GPS technology lacks in accuracy and precision. Ultra-wideband (UWB) is becoming a major localization technology enabler for the indoor environment providing an accuracy of $\sim$10~cm. Recent approaches focused on the scalability and efficiency by extracting concurrent transmissions time and phase information from the channel impulse response (CIR) of the UWB signal. However, there is a considerable trade-off between having a scalable and efficient system and guaranteeing the accuracy and low-cost of UWB localization. Concurrent time-based localization and Angle-of-Arrival (AoA)-based (phase-based) localization represent the state-of-the-art localization techniques for UWB localization. However, they can face many challenges. Concurrent time-based methods currently lack in accuracy due to hardware timing limitations reaching up to 8~ns (2.4~m) of error. AoA-based techniques solved the accuracy issue as they are independent from timing uncertainties. However, they require the localized targets to have dual-chip (and hence increased cost) devices to calculate the AoA. At the same time, dual-antenna devices have hardware design requirements: if the design of the target device is relatively compact, using dual-antennas can be challenging because they need certain separation between the antenna.
We address both issues by proposing a single-antenna AoA estimation method reducing therefore the cost of system. And we suggest a time uncertainty mitigation method for time-based localization to improve the accuracy. To the best of our knowledge, there is no prior work that solves the timing uncertainty of time-based localization or the cost efficiency of AoA localization.
In summary, the motivation of our work is to design a scalable, accurate, efficient and cost-effective UWB localization system. In our work, we use Decawave DW1000 based UWB radio platforms for implementation and evaluation. We plan to (1) Investigate the feasibility of an efficient single-antenna AoA localization system and (2) solve the timing uncertainty issue for time-based localization systems to improve the accuracy.
Thursday, November 12, 2020
2:30PM - 3:30PM CT
Online via MS Teams
Dr. Omprakash Gnawali, dissertation advisor
Faculty, students and the general public are invited.
- Online via MS Teams