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A Pulsar-Inspired Timing Framework for Power System: Optimization and Performance Evaluation

delete2026-03-09
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OA
AI
Y
Yu Liu
Y
Yuru Wu
B
Biao Sun
Y
Yongxin Zhang
J
Jiahui Yang
W
Wen Wang
Q
Qian Liu
Y
Y. Liu
DOI：10.1109/ACCESS.2026.3672341delete
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摘要

摘要

En 中文
由于它们优异的稳定性，中子脉冲星被视作电力系统应用中极具潜力的候选定时源。然而，脉冲星信号的复杂性需要先进处理算法来提供精确的定时参考。本文提出了脉冲星信号处理的基础框架，为后续优化奠定了基础。为提升脉冲星周期搜索中的定时精度和计算效率，本文提出了三个作为初步优化步骤的算法：小波去噪、快速折叠和用于轮廓评估的互相关。小波去噪使信噪比（SNR）提升了36%–70%。快速折叠将计算时间从数百秒缩短至毫秒级。互相关在有效识别最优周期方面优于传统的基于SNR的方法。所提算法的性能通过望远镜观测数据进行评估。综合来看，这些算法显著提升了脉冲星定时性能，将每秒脉冲（PPS）信号的误差从数百微秒降低至数十微秒。
Keyword:
Power system
timing signal
pulsar
signal processing
framework
algorithm

期刊

IEEE Access 封面图
IEEE Access
IF:
3.6
论文数:
9.8W
被引数:
29.4W

机构

T
the university of tennessee
学者数:
234
论文数: 135
被引数: 0
引用论文

引用论文

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