Parajuli, HN;
Shams, H;
Udvary, E;
(2017)
Synchronization and channel estimation in experimental M-QAM OFDM radio over fiber systems using CAZAC based training preamble.
In:
2017 International Conference on Optical Network Design and Modeling (ONDM).
IEEE
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Abstract
In this paper, we propose a new technique for synchronization and channel estimation in M-QAM OFDM radio over fiber (RoF) system by using constant amplitude zero auto-correlation (CAZAC) sequence based training preamble. Delay and correlate method is used to identify the training sequence in the received signal vector and to correct the symbol timing offset. For an optimum demodulation of OFDM signal, optimum down sampling offset position has to be identified before applying symbol timing algorithm. To solve this issue, we present the iterative method of finding optimum down sampling offset position. We show that the training preamble used for synchronization can also be applied to estimate the channel response using averaging technique. Moreover, we used the least square estimation based channel estimation method using pilot subcarriers and compare the results with training preamble based estimation.
| Type: | Proceedings paper |
|---|---|
| Title: | Synchronization and channel estimation in experimental M-QAM OFDM radio over fiber systems using CAZAC based training preamble |
| Event: | ONDM 2017 : The 21th International Conference on Optical Network Design and Modeling |
| Location: | Budapest, Hungary |
| Dates: | 15 May 2017 - 18 May 2017 |
| ISBN-13: | 9783901882937 |
| Open access status: | An open access version is available from UCL Discovery |
| Publisher version: | http://ieeexplore.ieee.org/document/7958533/ |
| Language: | English |
| Additional information: | © 2017 IFIP. This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10022691 |
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