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.
Reference Key
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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