Defence of dissertation in the field of Communications Engineering M.Sc. (Tech.) Huseyin Yigitler

2018-06-28 12:00:00 2018-06-28 23:59:59 Europe/Helsinki Defence of dissertation in the field of Communications Engineering M.Sc. (Tech.) Huseyin Yigitler The title of thesis is “Narrowband Radio Frequency Inference Physical Modelling and Measurement Processing” http://eea.aalto.fi/en/midcom-permalink-1e851cae4c0bd0051ca11e8b18bef71f33f63d663d6 Maarintie 8, 02150, Espoo

The title of thesis is “Narrowband Radio Frequency Inference Physical Modelling and Measurement Processing”

28.06.2018 / 12:00
Hall AS1, Maarintie 8, 02150, Espoo, FI

Narrowband RF inference is an emerging field that aims at estimating location and actions of a person using the received signal strength measurements of commercial off-the-shelve nar-rowband wireless communication devices. In this thesis, both statistical and deterministic measurement models are derived that can be used for processing the data to achieve the goals set by several different applications including ambient assisted living, and emergency and security surveillance. In particular, device-free localization and respiration rate monitoring are considered, and the models are used and extended for various scenarios. The models reviewed and introduced in the thesis are elaborated numerically and validated using empiri-cal measurement data. The model validation is made by using two different test subjects: a mobile robot equipped with a human torso simulating container, and a human. The former can navigate autonomously while accurately localizing itself in indoor environments, and has a repeatable set of physical parameters affecting the measurement. The latter allows one to observe the performance under realistic operation conditions. The effect of the test subjects on the received signal strength is measured using an experimental setup that is designed to ac-quire high quality measurements by introducing as low jitter as possible. The acquired data allow one to make conclusive statements about the validity of the models, and assess general-ity of the underlying assumptions. The results suggest that the models allow optimized de-ployments and low-complexity systems that can reach the performance of state-of-the-art works.

Opponent: Professor Jiannong Cao, Hong Kong Polytechnic University, Hong Kong

Custos: Professor Riku Jäntti,  Aalto University School of Electrical Engineering, Department of Communications and Networking.

Thesis website
Notice of dissertation defence (pdf.)
Contact information: Hüseyin Yiğitler, +358 50 435 5847, huseyin.yigitler@aalto.fi
Maarintie 8, 02150, Espoo, Finland