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

机译:一种基于自相关的改进的帧参数盲识别算法

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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.
机译:在非合作通信系统的背景下,帧参数的盲目识别在帧同步中起着至关重要的作用。在现有的累积滤波算法的基础上,提出了一种基于自相关的算法。为了克服高BER,计算峰均比(PAR)以改进算法。仿真结果证明了该算法的性能。

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