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多源相位控制自适应跟踪算法研究

Study on adaptive tracking algorithm for multi-source phases controlling
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摘要 为了改善频率源的相位噪声,本文提出一种频率和相位相同的独立源合成的方法。由于硬件的不一致性,独立源之间存在一定的相位差,所以合路频率源的相位噪声不接近理论值,甚至恶化。在本文中,从数学上证明了将频率和相位相同的多个频率源信号结合起来可以改善频率源的相位噪声的可行性,并利用MATLAB进行理论仿真;针对两个频率源相位的相位差或不同步问题,提出了一种自适应跟踪算法来实现两个频率源之间的相位同步,最后给出该算法理论仿真结果。从理论证明和仿真结果中分析,合成频率源信号的相位噪声得到提升,相比与初始频率源的幅度提升了3 dB;本文提出自适应跟踪算法可以控制两个初始频率源的相位差小于10°,达到预期效果。 A method of combining independent frequency sources of the same frequency and phase is proposed to improve the phase noise of the frequency source.Due to the inconsistency of the hardware,however,there is a certain phase difference between independent sources,so the phase noise of the combined frequency source is not close to the theoretical value and is even degraded.This paper proves that combining multiple frequency sources the frequency and phase of which are equal or approximate can improve the phase noise performance of the frequency source,and carries out the theoretical simulation with MATLAB.Aimed at the problem of phase non-synchronization or phase difference between two frequency sources,an adaptive tracking algorithm was proposed to realize the phase synchronization between two different frequency sources.Finally,this paper provided the theoretical simulation results of the proposed algorithm.From the theoretical proof and simulation results,relative to the initial frequency source,the phase noise of the combined frequency source signal is improved by 3dB.In this paper,an adaptive tracking algorithm was also proposed.The algorithm can control the phase difference between the two initial frequency sources to be less than 10°,the expected effect of which has been achieved.
作者 张道东 杨仕勇 蒲红平 鲁朝升 郑晓霞 Zhang Daodong;Yang Shiyong;Pu Hongping;Lu Chaosheng;Zheng Xiaoxia(College of Automation and Information Engineering,Sichuan University of Science&Engineering,Yibin 643002,China;Artificial Intelligence Key Laboratory of Sichuan Province,Yibin 643002,China;School of Automotive Engineering,Chengdu Aeronautic Polytechnic,Chengdu 610100,China)
出处 《电子测量技术》 北大核心 2023年第8期120-125,共6页 Electronic Measurement Technology
基金 人工智能四川省重点实验室(2020RZY01,2021RYY02) 厅市共建智能终端四川省重点实验室开放课题(SCITLAB-20011) 四川轻化工大学项目(Y2022134)资助。
关键词 频率源 相位噪声 相位差 自适应跟踪算法 frequency source phase noise phase difference adaptive tracking algorithm
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