2020 IEEE 14th Dallas Circuits and Systems Conference (DCAS) 2020
DOI: 10.1109/dcas51144.2020.9330638
|View full text |Cite
|
Sign up to set email alerts
|

Noise Reduction via Chopper Stabilization of Fully Differential Temperature Sensors for Hardware Security Applications

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
3
1

Relationship

0
4

Authors

Journals

citations
Cited by 4 publications
(1 citation statement)
references
References 17 publications
0
1
0
Order By: Relevance
“…As a first step toward achieving HT detection through on-chip power monitoring with a focus on temperature-based analysis, a completely differential temperature sensor was introduced in this paper [29]. A temperature sensor designed with full differential configuration that uses chopper stabilized amplification was developed by modifying the input currents in the differential configuration of BJT being utilized as temperature sensors, the suggested twostage trans-impedance there has been a modification to the amplifier architecture built utilizing a chopping technique to mitigate flicker noise, the signal-to-noise ratio has greatly improved, according to simulation data [30].…”
Section: A Tamper Resistancementioning
confidence: 99%
“…As a first step toward achieving HT detection through on-chip power monitoring with a focus on temperature-based analysis, a completely differential temperature sensor was introduced in this paper [29]. A temperature sensor designed with full differential configuration that uses chopper stabilized amplification was developed by modifying the input currents in the differential configuration of BJT being utilized as temperature sensors, the suggested twostage trans-impedance there has been a modification to the amplifier architecture built utilizing a chopping technique to mitigate flicker noise, the signal-to-noise ratio has greatly improved, according to simulation data [30].…”
Section: A Tamper Resistancementioning
confidence: 99%