2009
DOI: 10.1109/tcsi.2008.2006211
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Oscillator Phase Noise: A Geometrical Approach

Abstract: Abstract-We construct a coordinate-independent description of oscillator linear response through a decomposition scheme derived independently of any Floquet theoretic results. Trading matrix algebra for a simpler graphical methodology, the text will present the reader with an opportunity to gain an intuitive understanding of the well-known phase noise macromodel. The topics discussed in this paper include the following: orthogonal decompositions, AM-PM conversion, and nonhyperbolic oscillator noise response.

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Cited by 30 publications
(56 citation statements)
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“…This follows because the effect of the noise sources on the oscillator phase noise is given by projecting the noise onto a particular direction, the phase sensitivity vector v ⊥ , in the phase space. This vector is perpendicular to the isochrone at the limit cycle-the surfaces of perturbations to the limit cycle that decay to the same phase point on the cycle [17][18][19][20]-and can be calculated as the eigenvector with zero eigenvalue of the adjoint of the Jacobian of the evolution equations linearized about the no-noise limit cycle [16,21]. To implement this we write the complex amplitude equation as a pair of real equations for (a, ).…”
Section: / F Noisementioning
confidence: 99%
“…This follows because the effect of the noise sources on the oscillator phase noise is given by projecting the noise onto a particular direction, the phase sensitivity vector v ⊥ , in the phase space. This vector is perpendicular to the isochrone at the limit cycle-the surfaces of perturbations to the limit cycle that decay to the same phase point on the cycle [17][18][19][20]-and can be calculated as the eigenvector with zero eigenvalue of the adjoint of the Jacobian of the evolution equations linearized about the no-noise limit cycle [16,21]. To implement this we write the complex amplitude equation as a pair of real equations for (a, ).…”
Section: / F Noisementioning
confidence: 99%
“…According to (6), the last (n − m)N t rows ofR are zero (N t = 2N H +1), and this property can be effectively exploited to minimize the size of the generalized eigenvalue problem (11). To this aim, the columns of matrixR need to be reordered by means of the reduced row echelon form (RREF) reduction technique [16]; since for the problem to admit a solution matrixB should be full rank, applying the RREF toB (11) can be cast in the form…”
Section: B Numerical Implementationmentioning
confidence: 99%
“…We discuss here the error introduced in the solution of (4) by the approximation on the R matrix performed in (6). The starting point of the analysis is (4), where the approximation leading to R (t) is expressed in perturbative form…”
Section: Numerical Error Estimationmentioning
confidence: 99%
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“…Although electronic simulators offer results in good agreement with effective measurements, they cannot be used to infer general properties of the underlying system. Despite the great amount of work presented even recently in literature [3,4], since the pioneeristic work of Kaertner [5] and the latter efforts accomplished by Hajimiri-Lee [6], Demir [7,8] and Buonomo [9] not many significant theoretical contributions have really extended the capability to develop innovative techniques in the design of oscillators systems.…”
Section: Introductionmentioning
confidence: 99%