NDLI: Phase noise analysis of oscillators with Sylvester representation for periodic time-varying modulus matrix by regular perturbations

Content Provider	Springer Nature Link
Author	Fan, JianXing Yang, HuaZhong Wang, Hui Yan, XiaoLang Hou, ChaoHuan
Copyright Year	2007
Abstract	Phase noise analysis of an oscillator is implemented with its periodic time-varying small signal state equations by perturbing the autonomous large signal state equations of the oscillator. In this paper, the time domain steady solutions of oscillators are perturbed with traditional regular method; the periodic time-varying Jocobian modulus matrices are decomposed with Sylvester theorem, and on the resulting space spanned by periodic vectors, the conditions under which the oscillator holds periodic steady states with any perturbations are analyzed. In this paper, stochastic calculus is applied to disclose the generation process of phase noise and calculate the phase jitter of the oscillator by injecting a pseudo sinusoidal signal in frequency domain, representing the white noise, and a δ correlation signal in time domain into the oscillator. Applying the principle of frequency modulation, we learned how the power-law and the Lorentzian spectrums are formed. Their relations and the Lorentzian spectrums of harmonics are also worked out. Based on the periodic Jacobian modulus matrix, the simple algorithms for Floquet exponents and phase noise are constructed, as well as a simple case is demonstrated. The analysis difficulties and the future directions for the phase noise of oscillators are also pointed out at the end.
Starting Page	587
Ending Page	599
Page Count	13
File Format	PDF
ISSN	10092757
Journal	Science in China Series : Information Sciences
Volume Number	50
Issue Number	4
e-ISSN	18622836
Language	English
Publisher	Science in China Press
Publisher Date	2007-01-01
Publisher Place	Beijing
Access Restriction	Subscribed
Subject Keyword	phase noise periodic time-varying Sylvester theorem power-law spectrum Lorentzian spectrum Floquet exponent stochastic calculus Information Systems and Communication Service
Content Type	Text
Resource Type	Article
Subject	Computer Science

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