Title: | Narrowband Radio Frequency Inference: Physical Modeling and Measurement Processing |
Author(s): | Yiğitler, Hüseyin |
Date: | 2018 |
Language: | en |
Pages: | 164 + app. 92 |
Department: | Tietoliikenne- ja tietoverkkotekniikan laitos Department of Communications and Networking |
ISBN: | 978-952-60-8009-3 (electronic) 978-952-60-8008-6 (printed) |
Series: | Aalto University publication series DOCTORAL DISSERTATIONS, 100/2018 |
ISSN: | 1799-4942 (electronic) 1799-4934 (printed) 1799-4934 (ISSN-L) |
Supervising professor(s): | Jäntti, Riku, Asst. Prof., Aalto University, Department of Communications and Networking, Finland |
Subject: | Telecommunications engineering |
Keywords: | RF inference, device-free localization, radio tomographic imaging, received signal strength, physical model |
|
|
Abstract:Narrowband RF inference is an emerging field that aims at estimating the location and actions of a person using commercial off-the-shelf narrowband wireless communication devices. In the research field, the location and actions of a person are estimated using the received signal strength measurements of the receivers. 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 the applications. In particular, device-free localization and respiration rate monitoring are considered, and the models are used and extended for various scenarios. The results suggest that the models allow optimized deployments and low-complexity systems that can reach the performance of state-of-the-art systems.
|
|
Parts:[Publication 1]: Hüseyin Yigitler, Ossi Kaltiokallio, Riku Jäntti. A Management Framework for Device-free Localization. In The International Joint Conference on Neural Networks (IJCNN), pp. 1–8, Dallas, Texas, August 2013. DOI: 10.1109/IJCNN.2013.6707131 View at Publisher [Publication 2]: Hüseyin Yigitler, Riku Jäntti, Neal Patwari. On Log-Normality of RSSI in Narrowband Receivers Under Static Conditions. IEEE Signal Processing Letters, vol. 24, no. 4, pp. 367-371, April 2017. DOI: 10.1109/LSP.2017.2657332 View at Publisher [Publication 3]: Ossi Kaltiokallio, Hüseyin Yigitler, Riku Jäntti. A Three-State Received Signal Strength Model for Device-free Localization. IEEE Transactions on Vehicular Technology, vol. 66, no. 10, pp. 9226-9240, October 2017. DOI: 10.1109/TVT.2017.2701399 View at Publisher [Publication 4]: Hüseyin Yigitler, Riku Jäntti. Experimental accuracy assessment of radio tomographic imaging methods. In IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops), pp. 1–6, Sydney, March 2016. DOI: 10.1109/PERCOMW.2016.7457117 View at Publisher [Publication 5]: Hüseyin Yigitler, Ossi Kaltiokallio, Riku Jäntti, Neal Patwari. Detector Based Radio Tomographic Imaging. IEEE Transactions on Mobile Computing, vol. 17, no.1, pp. 58-71, January 2018. DOI: 10.1109/TMC.2017.2699634 View at Publisher [Publication 6]: Ossi Kaltiokallio, Hüseyin Yigitler, Riku Jäntti, Neal Patwari. Noninvasive Respiration Rate Monitoring Using a Single COTS TX-RX Pair. In Proceedings of the 13th International Symposium on Information Processing in Sensor Networks, IPSN, pp. 59–69, Berlin, April 2014. DOI: 10.1109/IPSN.2014.6846741 View at Publisher [Publication 7]: Hüseyin Yigitler, Ossi Kaltiokallio, Roland Hostettler, Riku Jäntti, Neal Patwari, Simo Särkkä. RSS Models for Respiration Rate Monitoring. Submitted to submitted to IEEE Transactions on Signal Processing, November 2017 |
|
|
Unless otherwise stated, all rights belong to the author. You may download, display and print this publication for Your own personal use. Commercial use is prohibited.
Page content by: Aalto University Learning Centre | Privacy policy of the service | About this site