scholarly journals Balun LNA Thermal Noise Analysis and Balancing With Common-Source Degeneration Resistor

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 64949-64958 ◽  
Author(s):  
Qusai M. Abubaker ◽  
Lutfi Albasha
Keyword(s):  
Thermal Noise ◽  
Noise Analysis ◽  
Common Source ◽  
Source Degeneration

A Unified Explanation of gm/ID-Based Noise Analysis

2014 ◽  
Vol 24 (01) ◽  
pp. 1550010 ◽  
Author(s):  
Jack Ou ◽  
Pietro M. Ferreira
Keyword(s):  
Thermal Noise ◽  
Flicker Noise ◽  
Practical Implication ◽  
Noise Analysis ◽  
Drain Current ◽  
Corner Frequency ◽  
Noise Power ◽  
Noise Power Spectral Density ◽  
Power Spectral ◽  
The Relationship

We present an unified explanation of the transconductance-to-drain current (gm/ID)-based noise analysis in this paper. We show that both thermal noise coefficient (γ) and device noise corner frequency (f co ) are dependent on the gm/ID of a transistor. We derive expressions to demonstrate the relationship between the normalized noise power spectral density technique and the technique based on γ and f co . We conclude this letter with examples to demonstrate the practical implication of our study. Our results show that while both techniques discussed in this letter can be used to compute noise numerically, using γ and f co to separate thermal noise from flicker noise provides additional insight for optimizing noise.

Noise Analysis of Silicon Microgyroscope's Transimpedance Amplifier Interface Circuit

2015 ◽  
Vol 645-646 ◽  
pp. 624-629
Author(s):  
Wei Feng Tang ◽  
An Ping Qiu ◽  
Guo Ming Xia ◽  
Yan Su
Keyword(s):  
Thermal Noise ◽  
Noise Analysis ◽  
Transimpedance Amplifier ◽  
Frequency Range ◽  
Output Current ◽  
Interface Circuit ◽  
Dc Offset ◽  
Simulation Based ◽  
Noise Density ◽  
Very High

The output-current of silicon microgyroscope is at the level of 10-7A. So the requirements for circuits’ SNR are very high. This paper proposes a method to improve transimpedance amplifier interface circuit’s SNR. First of all, the operating principles of silicon microgyroscope and transimpedance amplifier interface circuit are introduced. Secondly, resistor thermal noise, amplifier’s current and voltage noise are analyzed. Then noise density in a certain frequency range is calculated based on Matlab. Besides, a method to improve SNR is proposed, namely, increasing the value of DC offset resistance. Finally, simulation based on Cadence is operated to verify the method. Simulation results fit well with the theoretical analysis. That means the method to improve the SNR is feasible.

Noise Analysis and Eliminate Countermeasures for Car Audio System

2011 ◽  
Vol 58-60 ◽  
pp. 2074-2078
Author(s):  
Yong Xue Zhang ◽  
Ming Zhu Zhang
Keyword(s):  
Thermal Noise ◽  
Noise Analysis ◽  
Video Quality ◽  
Driving Safety ◽  
System Noise ◽  
System Composition ◽  
Design And Manufacturing ◽  
Car Audio ◽  
Car Audio System ◽  
Audio System

Automobile traffic has become the financial, entertainment, office and communications function as one of the mobile sites. In automotive design and manufacturing and modification, eliminating the noise of car audio systems to improve driving safety and the occupants enjoy audio and video quality is very important. This paper analyzes the car audio system composition, explains automobile noise is divided into mechanical noise and circuit system inner noise, circuit system noise inside mainly includes thermal noise, induction noise and transmission noise, and puts forward the relevant measures to reduce noise.

Fundamental Noise Limits for Miniature Acoustic and Vibration Sensors

1995 ◽  
Vol 117 (4) ◽  
pp. 405-410 ◽  
Author(s):  
T. B. Gabrielson
Keyword(s):  
Fiber Optics ◽  
Thermal Noise ◽  
Noise Analysis ◽  
High Sensitivity ◽  
Design Guidelines ◽  
Optical Noise ◽  
High Noise ◽  
Noise Floor ◽  
Vibration Sensors ◽  
Technological Advances

Recent technological advances in microfabrication and fiber optics have made practical the construction of very small, sensitive sensors for acoustic or vibration measurements. As the sensitivity is increased or the size is decreased, a sensor becomes more susceptible to mechanical noise resulting from molecular agitation. Traditional noise analysis is often focused exclusively on electrical or optical noise; consequently, mechanical-thermal noise may not be considered in new types of sensors until the prototype testing reveals an unexpectedly high noise floor. Fortunately, mechanical-thermal noise is relatively easy to estimate early in the design process because the equivalent noise force is only a function of the temperature and the mechanical losses in the sensor There are a number of specific techniques that are applicable for evaluating either the total mechanical-thermal noise or the spectral distribution of that noise for simple or complex sensors. These techniques are presented and, in addition, a summary of other noise components is given in the context of design guidelines for high-sensitivity sensors.

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