A GaAs FET Oscillator Noise Model with a Periodically Driven Noise Source

1986 ◽  
Author(s):  
Heinz J. Siweris ◽  
Burkhard Schiek
Keyword(s):  
Noise Source ◽  
Noise Model ◽  
Periodically Driven ◽  
Oscillator Noise

scholarly journals Modeling and Optimization of Impedance Balancing Technique for Common Mode Noise Attenuation in DC-DC Boost Converters

Electronics ◽  
2020 ◽  
Vol 9 (3) ◽  
pp. 480
Author(s):  
Shuaitao Zhang ◽  
Baihua Zhang ◽  
Qiang Lin ◽  
Eiji Takegami ◽  
Masahito Shoyama ◽  
...  
Keyword(s):  
Electromagnetic Interference ◽  
Noise Source ◽  
Effective Means ◽  
Source Model ◽  
Boost Converter ◽  
Modeling Method ◽  
Noise Model ◽  
Resonance Problem ◽  
Common Mode ◽  
Boost Converters

As an effective means of suppressing electromagnetic interference (EMI) noise, the impedance balancing technique has been adopted in the literature. By suppressing the noise source, this technique can theoretically reduce the noise to zero. Nevertheless, its effect is limited in practice and also suffers from noise spikes. Therefore, this paper introduces an accurate frequency modeling method to investigate the attenuation degree of noise source and redesign the impedance selection accordingly in order to improve the noise reduction capability. Based on a conventional boost converter, the common mode (CM) noise model was built by identifying the noise source and propagation paths at first. Then the noise source model was extracted through capturing the switching voltage waveform in time domain and then calculating its Fourier series in frequency domain. After that, the conventional boost converter was modified with the known impedance balancing techniques. This balanced circuit was analyzed with the introduced modeling method, and the equivalent noise source was precisely estimated by combining the noise spectra and impedance information. Furthermore, two optimized schemes with redesigned impedances were proposed to deal with the resonance problem. A hardware circuit was designed and built to experimentally validate the proposed concepts. The experimental results demonstrate the feasibility and effectiveness of the proposed schemes.

scholarly journals A SIMPLE NOISE MODEL WITH MEMORY FOR BIOLOGICAL SYSTEMS

2005 ◽  
Vol 05 (02) ◽  
pp. L243-L250 ◽  
Author(s):  
O. CHICHIGINA ◽  
D. VALENTI ◽  
B. SPAGNOLO
Keyword(s):  
Noise Source ◽  
Pulse Sequence ◽  
Biological Systems ◽  
Source Model ◽  
Noise Model ◽  
Time Behavior ◽  
Correlated Noise ◽  
Infected People ◽  
Random Times ◽  
With Memory

A noise source model, consisting of a pulse sequence at random times with memory, is presented. By varying the memory we can obtain variable randomness of the stochastic process. The delay time between pulses, i.e. the noise memory, produces different kinds of correlated noise ranging from white noise, without delay, to quasi-periodical process, with delay close to the average period of the pulses. The spectral density is calculated. This type of noise could be useful to describe physical and biological systems where some delay is present. In particular it could be useful in population dynamics. A simple dynamical model for epidemiological infection with this noise source is presented. We find that the time behavior of the illness depends on the noise parameters. Specifically the amplitude and the memory of the noise affect the number of infected people.

scholarly journals Multi-GNSS satellite clock estimation constrained with oscillator noise model in the existence of data discontinuity

2018 ◽  
Vol 93 (4) ◽  
pp. 515-528 ◽  
Author(s):  
Chuang Shi ◽  
Shiwei Guo ◽  
Shengfeng Gu ◽  
Xinhao Yang ◽  
Xiaopeng Gong ◽  
...  
Keyword(s):  
Noise Model ◽  
Satellite Clock ◽  
Oscillator Noise ◽  
Clock Estimation ◽  
Data Discontinuity

GREEN'S FUNCTIONS APPROACH TO MOS PHYSICS-BASED COMPACT NOISE MODELLING

2001 ◽  
Vol 01 (01) ◽  
pp. R51-R63 ◽  
Author(s):  
F. BONANI ◽  
S. DONATI GUERRIERI ◽  
G. GHIONE
Keyword(s):  
Green’S Function ◽  
Green's Function ◽  
Noise Source ◽  
Field Method ◽  
Noise Model ◽  
Function Evaluation ◽  
Drift Diffusion Model ◽  
Drift Diffusion ◽  
Density Distributions ◽  
Noise Density

A Green's function approach, akin to the classical Impedance Field Method, is exploited to derive a compact noise model for long-gate MOSFETs. The model includes diffusion noise as microscopic noise source, accounting for high field mobility and diffusivity effects in the microscopic noise source and in the Green's function evaluation. The analytical model with nominal parameters compares very well with results obtained from an accurate 2D numerical drift-diffusion model, both for the noise density distributions and the device terminal noise spectra.

scholarly journals DOA Estimation in Heteroscedastic Noise with sparse Bayesian Learning

2021 ◽  
Vol 35 (11) ◽  
pp. 1439-1440
Author(s):  
Peter Gerstoft ◽  
Christoph Mecklenbrauker ◽  
Santosh Nannuru ◽  
Geert Leus
Keyword(s):  
Maximum Likelihood ◽  
Gaussian Noise ◽  
Bayesian Learning ◽  
Noise Source ◽  
Doa Estimation ◽  
Noise Model ◽  
Sparse Bayesian Learning ◽  
Noisy Environment ◽  
Independent Zero

We consider direction of arrival (DOA) estimation from long-term observations in a noisy environment. In such an environment the noise source might evolve, causing the stationary models to fail. Therefore a heteroscedastic Gaussian noise model is introduced where the variance can vary across observations and sensors. The source amplitudes are assumed independent zero-mean complex Gaussian distributed with unknown variances (i.e., source powers), leading to stochastic maximum likelihood (ML) DOA estimation. The DOAs are estimated from multi-snapshot array data using sparse Bayesian learning (SBL) where the noise is estimated across both sensors and snapshots.

scholarly journals A Modularized Noise Analysis Method with Its Application in Readout Circuit Design

VLSI Design ◽  
2015 ◽  
Vol 2015 ◽  
pp. 1-10 ◽  
Author(s):  
Xiao Wang ◽  
Zelin Shi ◽  
Baoshu Xu
Keyword(s):  
Integrated Circuit ◽  
Transfer Functions ◽  
Noise Source ◽  
Noise Analysis ◽  
Noise Model ◽  
Analysis Method ◽  
Noise Performance ◽  
Subthreshold Region ◽  
Readout Integrated Circuit ◽  
Output Noise

A readout integrated circuit (ROIC) is a crucial part that determines the quality of imaging. In order to analyze the noise of a ROIC with distinct illustration of each noise source transferring, a modularized noise analysis method is proposed whose application is applied for a ROIC cell, where all the MOSFETs are optimized in subthreshold region, leading to the power dissipation 2.8 μW. The modularized noise analysis begins with the noise model built using transfer functions and afterwards presents the transfer process of noise in the form of matrix, through which we can describe the contribution of each noise source to the whole output noise clearly, besides optimizing the values of key components. The optimal noise performance is obtained under the limitation of layout area less than 30 μm × 30 μm, resulting in that the integration capacitor should be selected as 0.74 pF to achieve an optimal noise performance, the whole output noise reaching the minimum value at 74.1 μV. In the end transient simulations utilizing Verilog-A are carried out for comparisons. The results showing good agreement verify the feasibility of the method presented through matrix.

scholarly journals Prediction of Noise Performance of Ro-Ro Passenger Ship by the Hybrid Statistical Energy Analysi

2018 ◽  
Vol 2 (Special edition 2) ◽  
pp. 29-45
Author(s):  
Nikola Vladimir ◽  
Ivan Lončar ◽  
Ivica Aničić ◽  
Ivo Senjanović
Keyword(s):  
Noise Source ◽  
Noise Analysis ◽  
Noise Model ◽  
Design Parameters ◽  
Sound Insulation ◽  
Noise Prediction ◽  
Noise Performance ◽  
Noise Levels ◽  
Technical Data ◽  
Passenger Ship

Noise prediction on board Ro-Ro passenger ship with a capacity of 145 cars and 600 passengers has been performed by means of the hybrid Statistical Energy Analysis (SEA). A general commercial noise analysis software Designer-NOISE is used. Basic issues related to noise on board ships are described, with particular emphasis to regulatory framework. An outline of the used software is presented together with ship technical data and noise source overview. Noise model is described in details and results are presented for selected compartments both without and with sound insulation. In addition to standard noise prediction output, a sensitivity analysis of noise levels with respect to some design parameters (wall thickness, insulation type and thickness, etc.) has been performed. Finally, conclusions on noise performance of a ship are drawn.

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