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

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ID: 111471
2019
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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.
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xu2019informationan Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Yiyao Xu;Yang Zhong;Zhiping Huang;Xu, Yiyao;Zhong, Yang;Huang, Zhiping;
Journal information
Year 2019
DOI
10.3390/info10020064
URL
https://dx.doi.org/10.3390/info10020064
Keywords
blind recognition frame parameters cumulative filtering self-correlation peak-to-average ratio

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