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A Novel PSS Timing Synchronization Algorithm for Cell Search in 5G NR System

机译:5G NR系统中小区搜索的新型PSS时序同步算法

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摘要

Cell search is the first step to establish downlink synchronization between user equipment (UE) and base station (BS) in the fifth generation (5G) new radio (NR) system. However, frequency offset and noise will cause a massive loss of synchronization performance. To solve this problem, a novel timing synchronization algorithm of primary synchronization signal (PSS) with anti-frequency offset and anti-noise is proposed, which includes the improved coarse synchronization algorithm based on Fourier transform and the fine synchronization algorithm based on the triple auto-correlation algorithm. The improved coarse synchronization algorithm not only has a strong frequency offset resistance, especially for large frequency offset, but also obtains the estimated frequency offset. The fine synchronization algorithm is more resistant to noise than the conventional algorithm. Finally, the algorithm analysis and simulation results show that the improved algorithm can work very well even when the normalized frequency offset increases to greater than 0.8, but the conventional algorithm fails to synchronize properly. Meanwhile, when the SNR is as low as −6dB, the detection accuracy of the timing synchronization based on the proposed fine synchronization algorithm is improved by about 31.7% compared with the conventional algorithm.
机译:小区搜索是第五代(5G)新无线电(NR)系统中的用户设备(UE)和基站(BS)之间建立下行链路同步的第一步。但是,频率偏移和噪声会导致同步性能的大量损耗。为了解决这个问题,提出了一种具有抗频偏移和抗噪声的初级同步信号(PSS)的新型时序同步算法,其包括基于傅立叶变换的改进的粗同步算法和基于三重自动的微观同步算法-correlation算法。改进的粗略同步算法不仅具有强的频率偏移电阻,特别是对于大频率偏移,而且还获得估计的频率偏移。精细同步算法比传统算法更耐噪声。最后,算法分析和仿真结果表明,即使归一化频率偏移量增加到大于0.8,改进的算法也可以很好地工作,但传统算法无法正常同步。同时,当SNR低至-6dB时,与传统算法相比,基于所提出的精细同步算法的定时同步的检测精度提高了约31.7%。

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