On the Determination of Device Noise Parameters Versus Size

In this paper a novel approach for determining the four noise parameters of FET devices over frequency is presented. Such methodology is made of two parts: the first one allows to straightforwardly extract single-frequency noise parameters from source-pull data; the second one extends this capability to multi-frequency, source-pull data to obtain a full description of device noise behavior over frequency by means of at most 10 constant parameters (depending on the required accuracy). The whole process is automated via a software routine and does not need a previous knowledge of the FET equivalent circuit's topology, or the values of its elements. This peculiarity makes the proposed method very well suited to quick characterization campaigns of active devices, avoiding the burden of a whole set of prior, different measurements and the relevant, critical extraction procedures, which are strongly dependent on the device.

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Microwave noise characterization of GaAs MESFET's: determination of extrinsic noise parameters

IEEE Transactions on Microwave Theory and Techniques ◽

10.1109/22.3580 ◽

1988 ◽

Vol 36 (4) ◽

pp. 745-751 ◽

Cited By ~ 38

Author(s):

M.S. Gupta ◽

P.T. Greiling

Keyword(s):

Extrinsic Noise ◽

Noise Parameters ◽

Noise Characterization ◽

Microwave Noise

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Experimental assessment of multiple contact wear using airborne noise under dry and lubricated conditions

Proceedings of the Institution of Mechanical Engineers Part J Journal of Engineering Tribology ◽

10.1177/1350650117700341 ◽

2017 ◽

Vol 231 (12) ◽

pp. 1503-1516 ◽

Cited By ~ 2

Author(s):

MA Khan ◽

Kanza Basit ◽

SZ Khan ◽

KA Khan ◽

AG Starr

Keyword(s):

Wear Area ◽

Contact Conditions ◽

Noise Parameters ◽

Recorded Sound ◽

Airborne Noise ◽

Pin On Disc ◽

Noise Data ◽

Wear Damage

The generation of wear and airborne noise is inevitable in the mechanical contacts of the machine components. This paper addresses the effectiveness of the airborne noise data in estimating the wear on a disc under multi-contact conditions. A pin-on-disc rig was employed to study the role of noise parameters on the evolution of the wear area. When a pin slides on the disc, the airborne noise is generated and subsequently a sound signal is obtained. These signals, for various sets of experiments, were recorded using a digital microphone. A Matlab code was developed and employed to estimate the noise parameters from the recorded sound. Noise parameters including values of voltage RMS, noise counts and amplitudes of dominant frequencies were used to analyse the variation in the disc wear at different time intervals. These parameters were found to be effective in the determination of the wear damage evaluation under different loads without lubrication.

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