1995
DOI: 10.1109/16.469392
|View full text |Cite
|
Sign up to set email alerts
|

Analytical bias dependent noise model for InP HEMT's

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

2
17
0

Year Published

1996
1996
2023
2023

Publication Types

Select...
4
2
1

Relationship

1
6

Authors

Journals

citations
Cited by 33 publications
(19 citation statements)
references
References 16 publications
2
17
0
Order By: Relevance
“…The reason for the higher MSG value of the dry etched HEMT's is that they show a higher output resistance R d s than the wet etched devices. In general, R d s increases for higher drain bias, i.e., higher drain gate voltages [7]. It is therefore presumed that R d s is higher for the dry etched devices as the more negative gate bias for maximum gain leads to a higher drain gate voltage.…”
Section: Resultsmentioning
confidence: 98%
See 3 more Smart Citations
“…The reason for the higher MSG value of the dry etched HEMT's is that they show a higher output resistance R d s than the wet etched devices. In general, R d s increases for higher drain bias, i.e., higher drain gate voltages [7]. It is therefore presumed that R d s is higher for the dry etched devices as the more negative gate bias for maximum gain leads to a higher drain gate voltage.…”
Section: Resultsmentioning
confidence: 98%
“…4 because of the dominant gate shot noise in this frequency range [12]. However, at 26 GHz the noise figure of the dry etched HEMT is lower than the noise figure of the wet etched device due to the higher ft of the dry etched HEMT [7]. The drain current dependence of the noise figure shows the usual "U" shape behavior.…”
Section: Noise Source Parameters P and R Versus Drain Current Per MM mentioning
confidence: 88%
See 2 more Smart Citations
“…Noise model has conventionally been realized by implementing noise sources inside a nonlinear signal model [3]- [4]. Therefore, the modeled noise response depends on both the noise sources and the equivalent circuit parameters of the signal model.…”
Section: Introductionmentioning
confidence: 99%