Transient‐based conversion matrix approach for nonlinear stability analysis

Pantoli, Leonardo

doi:10.1049/el.2014.0534

Cited by 22 publications

(11 citation statements)

References 9 publications

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“…Only small differences arise in the initial 10 ns, but they are caused by the poor convergence obtained simulating the native circuit due to the presence of distributed elements and S-parameter-based passive components. Anyway, the capability to detect the sub-harmonic oscillation condition is clearly shown, as discussed in [5]. Finally, the same comparison has been carried out with a time-domain transient simulator, that is the better solver for the analysis of complex non-linear phenomena or for synchronisation of subcircuits.…”

Section: Characterisation Of a Diode Frequency Divider (Dfd)mentioning

confidence: 98%

“…To solve this issue some dedicated approaches for the stability analysis in the frequency-domain have been already proposed in the literature: for example based on the use of an auxiliary generator (AG) [1,3], on pole/zero analysis [4] or on the conversion matrix calculation [5][6][7]. However, all of them require some compromise: in case of the AG technique [3], for instance, it is assumed that a spurious signal is present and that a rough estimation of its frequency is already available.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Effective time‐domain approach for the assessment of the stability characteristics and other non‐linear effects of RF and microwave circuits

Pantoli¹,

Spina

Romano

et al. 2019

IET Microwaves, Antennas & Propagation

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This paper describes a systematic approach for the stability analysis of RF and microwave nonlinear circuits in the time-domain and that can be useful also for the verification of other nonlinearities, like intermodulation. Time-domain analysis is the most reliable approach for the evaluation of complex nonlinear phenomena but, in general, the transient behaviour of nonlinear circuits is difficult to verify at high frequencies, where distributed elements are common. The solution here addressed overcomes this limitation and it may be applied, without restrictions, also to monolithic microwave integrated circuits and EM-based designs. Examples of application to hybrid prototypes are provided, and the comparison between simulations and measurements illustrates the accuracy and reliability of the proposed approach.

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Section: Characterisation Of a Diode Frequency Divider (Dfd)mentioning

confidence: 98%

Section: Introductionmentioning

confidence: 99%

Effective time‐domain approach for the assessment of the stability characteristics and other non‐linear effects of RF and microwave circuits

Pantoli¹,

Spina

Romano

et al. 2019

IET Microwaves, Antennas & Propagation

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show abstract

“…The length of TL 1 is also minimised to avoid possible stability issues. Complete stability analysis of the circuit has been also carried out both in linear and non-linear regimes [13,14], ensuring the oscillation condition only at the desired frequencies.…”

Section: Oscillator Corementioning

confidence: 99%

Low phase‐noise high output power 176‐GHz voltage‐controlled oscillator in a 130‐nm BiCMOS technology

Bello

Pantoli

et al. 2019

IET Microwaves, Antennas & Propagation

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In this study, the authors present the design and measurement results of a voltage‐controlled oscillator (VCO) that is based on a Colpitts core topology and a cascade output buffer. The circuit has a centre frequency of 176 GHz and is implemented in a 130 nm SiGe BiCMOS technology provided by IHP foundry. The VCO is a differential fundamental wave tunable oscillator that makes use of a transistor‐based LC‐resonator. On‐wafer measurements show a tuning range of about 5% from 171 to 179.5 GHz. The circuit achieves a maximum output power of 7.3 dBm when biased at 1.6 V and 6.5 dBm if biased at 1.4 V, both with an efficiency of ∼ 6.6%. DC power consumption is 82 and 52 mW, respectively. The measured phase‐noise of the VCO is − 110 dBc/Hz at 10 MHz offset. The VCO demonstrates state‐of‐the‐art performance at these frequencies with very good performance in term of output power, efficiency linearity, phase noise and compactness; in addition, thanks to the proposed architecture it shows high integrability at the system level.

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“…This solution allows obtaining good noise performance, gain, and stability over the full bandwidth . Unconditional stability has been provided beyond of with the choice of suitable biasing conditions, by using inductors L1 and L2 ; while low‐noise characteristics are achieved with the feedback capacitor C1 between base and collector terminals of the transistor and again by using the inductors. About the gain, usually it is not necessary to provide a high gain as this building block in the AI scheme is useful to compensate the losses introduced by the remaining part of the circuit, beyond of to provide a proper phase delay between current and voltage to provide an inductive behavior.…”

Section: Ai Design and Filter Applicationmentioning

confidence: 99%

Artificial neural networks approach to active inductor‐based filter design

Pantoli

Leoni

Marinković

et al. 2018

Int J RF Microw Comput Aided Eng

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We present a novel technique based on artificial neural networks (ANNs), for design and optimization of active RF filters based on high‐ Q Active Inductors (AIs). ANNs are used to build the small‐signal S‐parameter model as well as the noise model of the transistor considered for the AI, by considering variable current and voltage biasing. With this approach, it is possible to rapidly identify the best design solution that lead to an optimal network configuration and filter order at the initial design steps. To demonstrate the advantage of this method, a bandpass filter was designed by means of a custom ANN model, made in MATLAB environment that is based on a commercial transistor, the BFP840ESD from Infineon. With this technique, we easily optimized the design to achieve an operating frequency of 5 GHz with a 3 dB bandwidth of about 30 MHz with a high Q‐factor and a minimum noise figure of 0.96 dB at the central frequency.

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Transient‐based conversion matrix approach for nonlinear stability analysis

Cited by 22 publications

References 9 publications

Effective time‐domain approach for the assessment of the stability characteristics and other non‐linear effects of RF and microwave circuits

Effective time‐domain approach for the assessment of the stability characteristics and other non‐linear effects of RF and microwave circuits

Low phase‐noise high output power 176‐GHz voltage‐controlled oscillator in a 130‐nm BiCMOS technology

Artificial neural networks approach to active inductor‐based filter design

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