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  5. High Resolution Time Of Arrival Estimation for OFDM-Based Transceivers
 
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High Resolution Time Of Arrival Estimation for OFDM-Based Transceivers

Author(s)
Makki, Ahmed  
Siddig, Abubakr  
Saad, Mohamed M.  
Cavallaro, J. R.  
Bleakley, Chris J.  
Uri
http://hdl.handle.net/10197/6171
Date Issued
2014-10
Date Available
2014-11-17T14:50:41Z
Abstract
This letter presents a novel algorithm for Time Of Arrival (TOA) estimation for Orthogonal Frequency Division Multiplexing (OFDM) based transceivers. The algorithm processes the sampled baseband signal to obtain a high resolution estimate of the TOA of the OFDM symbol. In the first step, the algorithm obtains a sample resolution estimate of the TOA by finding the peak of the absolute value of the cross-correlation of the in-phase and quadrature received signals with the known transmitted symbol. In the second step, the algorithm refines this estimate to sub-sample resolution by estimating the phase delay of the received signal based on the gradient of a linear fit to the phase difference between the transmitted and received sub-carriers (in the frequency domain). The algorithm was applied to the Long Training Sequence (LTS) symbol of the IEEE Wireless Local Area Network (WLAN) 802.11g preamble. In real-world experiments, the algorithm was found to achieve a mean TOA estimation error of 49 cm in a low multi-path Line Of Sight (LOS) environment for ranges of 1-7 m.
Sponsorship
Science Foundation Ireland
Type of Material
Journal Article
Publisher
Institute of Engineering and Technology (IET)
Journal
Electronics Letters
Volume
51
Issue
3
Start Page
294
End Page
296
Copyright (Published Version)
2014 Institute of Engineering and Technology
Subjects

Orthogonal frequency-...

Time Of Arrival (TOA)...

Altorithms

DOI
10.1049/el.2014.3677
Language
English
Status of Item
Peer reviewed
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
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High_Resolution_Time_Of_Arrival_Estimation_for_OFDM-Based_Transceivers.pdf

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Owning collection
Computer Science Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
All other content is subject to copyright.

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