OTDOA-Based Positioning in Narrowband IoT
Berg, Axel LU
(2017)
- Abstract
- This thesis considers the problem of improving the performance of observed time difference of arrival (OTDOA) based positioning for Narrowband Internet of Things (NB-IoT). A new iterative low-complexity algorithm based on expectation maximization successive interference cancellation (EM-SIC) is presented. The algorithm tackles the near-far problem by using an iterative SIC, where for each received signal a frequency offset compensation and channel estimation is performed. A low receiver sampling rate of 1.92 MHz is assumed and the time of arrival (TOA) estimates are refined by interpolation of correlation results to a higher sampling rate. At the final stage of the algorithm, the problem of multipath fading is addressed using an iterative... (More)
- This thesis considers the problem of improving the performance of observed time difference of arrival (OTDOA) based positioning for Narrowband Internet of Things (NB-IoT). A new iterative low-complexity algorithm based on expectation maximization successive interference cancellation (EM-SIC) is presented. The algorithm tackles the near-far problem by using an iterative SIC, where for each received signal a frequency offset compensation and channel estimation is performed. A low receiver sampling rate of 1.92 MHz is assumed and the time of arrival (TOA) estimates are refined by interpolation of correlation results to a higher sampling rate. At the final stage of the algorithm, the problem of multipath fading is addressed using an iterative first-path detector. It is shown that the proposes EM-SIC algorithm greatly increases positioning performance compared to conventional methods and the estimated TOA variance almost attains the Cramér-Rao lower bound. (Less)
- Abstract (Swedish)
- This thesis considers the problem of improving the performance of observed time difference of arrival (OTDOA) based positioning for Narrowband Internet of Things (NB-IoT). A new iterative low-complexity algorithm based on expectation maximization successive interference cancellation (EM-SIC) is presented. The algorithm tackles the near-far problem by using an iterative SIC, where for each received signal a frequency offset compensation and channel estimation is performed. A low receiver sampling rate of 1.92 MHz is assumed and the time of arrival (TOA) estimates are refined by interpolation of correlation results to a higher sampling rate. At the final stage of the algorithm, the problem of multipath fading is addressed using an iterative... (More)
- This thesis considers the problem of improving the performance of observed time difference of arrival (OTDOA) based positioning for Narrowband Internet of Things (NB-IoT). A new iterative low-complexity algorithm based on expectation maximization successive interference cancellation (EM-SIC) is presented. The algorithm tackles the near-far problem by using an iterative SIC, where for each received signal a frequency offset compensation and channel estimation is performed. A low receiver sampling rate of 1.92 MHz is assumed and the time of arrival (TOA) estimates are refined by interpolation of correlation results to a higher sampling rate. At the final stage of the algorithm, the problem of multipath fading is addressed using an iterative first-path detector. It is shown that the proposes EM-SIC algorithm greatly increases positioning performance compared to conventional methods and the estimated TOA variance almost attains the Cramér-Rao lower bound. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/a0067ac7-78e5-4542-8faa-cdab06d345bc
- author
- Berg, Axel
LU
- publishing date
- 2017
- type
- Other contribution
- publication status
- published
- subject
- keywords
- IoT, Positioning, Wireless communication, NB-IoT, TDOA
- language
- English
- LU publication?
- no
- id
- a0067ac7-78e5-4542-8faa-cdab06d345bc
- alternative location
- https://www.lunduniversity.lu.se/lup/publication/8917934
- date added to LUP
- 2025-10-14 09:18:36
- date last changed
- 2025-10-14 09:18:36
@misc{a0067ac7-78e5-4542-8faa-cdab06d345bc,
abstract = {{This thesis considers the problem of improving the performance of observed time difference of arrival (OTDOA) based positioning for Narrowband Internet of Things (NB-IoT). A new iterative low-complexity algorithm based on expectation maximization successive interference cancellation (EM-SIC) is presented. The algorithm tackles the near-far problem by using an iterative SIC, where for each received signal a frequency offset compensation and channel estimation is performed. A low receiver sampling rate of 1.92 MHz is assumed and the time of arrival (TOA) estimates are refined by interpolation of correlation results to a higher sampling rate. At the final stage of the algorithm, the problem of multipath fading is addressed using an iterative first-path detector. It is shown that the proposes EM-SIC algorithm greatly increases positioning performance compared to conventional methods and the estimated TOA variance almost attains the Cramér-Rao lower bound.}},
author = {{Berg, Axel}},
keywords = {{IoT; Positioning; Wireless communication; NB-IoT; TDOA}},
language = {{eng}},
title = {{OTDOA-Based Positioning in Narrowband IoT}},
url = {{https://www.lunduniversity.lu.se/lup/publication/8917934}},
year = {{2017}},
}