Title :
Computing phase noise eigenfunctions directly from harmonic balance/shooting matrices
Author :
Demir, Alper ; Long, David ; Roychowdhury, Jaijeet
Author_Institution :
Lucent Technol. Bell Labs., Murray Hill, NJ, USA
Abstract :
A prerequisite for computing phase noise is finding the Perturbation Projection Vector (PPV), a periodic vector function that encapsulates the “transfer function” between individual noise sources and the phase noise of the oscillator. In this paper, we illustrate a novel technique for calculating the PPV that has several advantages over the monodromy matrix method currently used. The new method can be applied in the context of both frequency- and time-domain steady-state computations, and involves only a single linear solution of the appropriate Jacobian matrix. It also removes the need for applying heuristics in choosing the correct PPV from a potentially large set of choices, a feature particularly useful for high-Q oscillators. We compare PPVs obtained with the new method with those from the monodromy matrix method
Keywords :
Jacobian matrices; eigenvalues and eigenfunctions; frequency-domain analysis; phase noise; radiofrequency oscillators; time-domain analysis; transfer function matrices; Floquet eigenvector; Jacobian matrix; RF system design; frequency-domain steady-state computation; harmonic balance/shooting matrices; high-Q oscillators; individual noise sources; monodromy matrix method; oscillator phase noise; periodic vector function; perturbation projection vector; phase noise eigenfunctions computation; single linear solution; time-domain steady-state computation; transfer function; Circuits; Costs; Eigenvalues and eigenfunctions; Jacobian matrices; Oscillators; Phase noise; Power generation; Radio frequency; Steady-state; Time domain analysis;
Conference_Titel :
VLSI Design, 2001. Fourteenth International Conference on
Conference_Location :
Bangalore
Print_ISBN :
0-7695-0831-6
DOI :
10.1109/ICVD.2001.902674