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Information 2019, 10(2), 64; https://doi.org/10.3390/info10020064

An Improved Blind Recognition Algorithm of Frame Parameters Based on Self-Correlation

College of Artificial Intelligence, National University of Defense Technology, Changsha 410073, China
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Received: 6 January 2019 / Revised: 14 February 2019 / Accepted: 14 February 2019 / Published: 16 February 2019
(This article belongs to the Section Information and Communications Technology)
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Abstract

The blind recognition of the frame parameter plays a crucial role in frame synchronization in the background of a non-cooperation communication system. This paper proposes an algorithm based on self-correlation on the foundation of existed cumulative filtering algorithm. To overcome high BER, the peak-to-average ratio (PAR) is calculated to improve the algorithm. The simulation results proved that the performance of the algorithm has been improved. View Full-Text
Keywords: frame parameters; blind recognition; cumulative filtering; self-correlation; peak-to-average ratio frame parameters; blind recognition; cumulative filtering; self-correlation; peak-to-average ratio
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Xu, Y.; Zhong, Y.; Huang, Z. An Improved Blind Recognition Algorithm of Frame Parameters Based on Self-Correlation. Information 2019, 10, 64.

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