Accurate simulation of mixer noise and oscillator phase noise in large RFICs

Poore, Rick

doi:10.1109/apmc.1997.659377

Cited by 9 publications

(3 citation statements)

References 5 publications

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“…The cyclostationary analyses are area of active research [300,301,302], they are lengthily to be presented here in full, and there is no review available at present, which compares different approaches, in computer simulators. The approach is introduced in [303], it is sketched in [304], the derivation of the equations is presented at [305], and summarized in [212], as…”

Section: Cyclostationary Approachesmentioning

confidence: 99%

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Low-frequency noise in downscaled silicon transistors: Trends, theory and practice

2022

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Section: Cyclostationary Approachesmentioning

confidence: 99%

“…-Poore, 1997 [304] -method for harmonic balance in calculation of phase noise in mixers and oscillators.…”

Section: Vii24 Summarymentioning

confidence: 99%

Low-frequency noise in downscaled silicon transistors: Trends, theory and practice

2022

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“…It takes advantages of easiness to understand and simple deducing process. As stated above, this method will diverge at the fundamental frequency and the harmonics [8][9][10][11][12] . Besides appending the small perturbation to the periodic steady solutions, Kaertner [13,14] perturbed the phase of the solutions, and obtained two groups of Langevin equations for phase and amplitude respectively.…”

mentioning

confidence: 99%

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

et al. 2007

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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.phase noise, periodic time-varying, Sylvester theorem, power-law spectrum, Lorentzian spectrum, Floquet exponent, stochastic calculusThe oscillator circuit, which is required to output stable signal with fixed frequency, is widely used in analog, digital and radio frequency circuits. It provides time reference for the circuits and

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Conclusions and Future Directions

Mehrotra¹,

Sangiovanni‐Vincentelli²

2004

Noise Analysis of Radio Frequency Circuits

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Accurate simulation of mixer noise and oscillator phase noise in large RFICs

Cited by 9 publications

References 5 publications

Low-frequency noise in downscaled silicon transistors: Trends, theory and practice

Low-frequency noise in downscaled silicon transistors: Trends, theory and practice

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

Conclusions and Future Directions

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