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ICCAD
2000
IEEE

Computing Phase Noise Eigenfunctions Directly from Steady-State Jacobian Matrices

13 years 9 months ago
Computing Phase Noise Eigenfunctions Directly from Steady-State Jacobian Matrices
The main effort in oscillator phase noise calculation lies in computing a vector function called the Perturbation Projection Vector (PPV). Current techniques for PPV calculation use time domain numerics to generate the system’s monodromy matrix, followed by full or partial eigenanalysis. We present a superior method that finds the PPV using only a single linear solution of the oscillator’stime- or frequency-domain steady-state Jacobian matrix. The new method is better suited for existing tools with fast harmonic balance or shooting capabilities, and also more accurate than explicit eigenanalysis. A key advantage is that it dispenses with the need to select the correct one-eigenfunction from amongst a potentially large set of choices, an issue that explicit eigencalculation based methods have to face.
Alper Demir, David E. Long, Jaijeet S. Roychowdhur
Added 31 Jul 2010
Updated 31 Jul 2010
Type Conference
Year 2000
Where ICCAD
Authors Alper Demir, David E. Long, Jaijeet S. Roychowdhury
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