Subelectron Cis Noise Analysis In 65 Nm Process
- doi: 10.1109/ICECS.2016.7841263
-
title: Sub-electron CIS noise analysis in 65 nm process
- publisher: IEEE
- isbn: 978-1-5090-6114-3
- issn:
- rank: 3665
- access_type: LOCKED
- content_type: Conferences
-
abstract: For a 4T pixel-based CMOS image sensors (CIS)
readout chain, with column-level amplification and CDS, we show that the
input-referred total noise in a standard 65 nm process can be reduced to
0.37 e-rms. Based on transient noise simulation using Eldo, the deep
sub-electron noise performance have been reached using only circuit
techniques and optimal device choices. The simulation results have been
favorably compared with analytical noise calculations. The shot noise
associated to the gate tunneling current has been simulated and the
possibility of photoelectron counting in this 65 nm process has been
demonstrated.
- article_number: 7841263
-
pdf_url:
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7841263
-
html_url:
https://ieeexplore.ieee.org/document/7841263/
-
abstract_url:
https://ieeexplore.ieee.org/document/7841263/
-
publication_title: 2016 IEEE International Conference
on Electronics, Circuits and Systems (ICECS)
- conference_location: Monte Carlo, Monaco
- conference_dates: 11-14 Dec. 2016
- publication_number: 7829200
- is_number: 7841114
- publication_year: 2016
- publication_date: 11-14 Dec. 2016
- start_page: 560
- end_page: 563
- citing_paper_count: 1
- citing_patent_count: 0
- download_count: 529
- insert_date: 20170206
-
index_terms:
-
ieee_terms:
- 1/f noise
- Thermal noise
- Logic gates
- Transistors
- Capacitance
- Bandwidth
- Transient analysis
-
author_terms:
- CMOS
- image sensors
- 1/f noise
- thermal noise
- shot noise
- deep sub-electron noise
- photoelectron counting
-
dynamic_index_terms:
- Noise Analysis
- Simulation Results
- Photoelectron
- Photoelectric
- Shot Noise
- Poisson Noise
- Transient Simulation
- Noise Performance
- Simulated Noise
- Total Noise
- Tunneling Current
- Input-referred Noise
- Noise Sources
- Downscaling
- Thermal Noise
- Current Noise
- Technology Node
- Control Bandwidth
- Flicker Noise
- PIN Photodiode
- Simulation Chain
-
isbn_formats:
-
format: Print on Demand(PoD) ISBN,
value: 978-1-5090-6114-3,
isbnType: New-2005
-
format: USB ISBN,
value: 978-1-5090-6112-9,
isbnType: New-2005
-
format: Electronic ISBN,
value: 978-1-5090-6113-6,
isbnType: New-2005
-
authors:
-
Author Name: Raffaele Capoccia
Affiliation: École Poly technique Fédérale de
Lausanne (EPFL), Switzerland
Author URL:
https://ieeexplore.ieee.org/author/37085498112
ID: 37085498112
Order: 1
Author Affiliations:
-
École Poly technique Fédérale de Lausanne (EPFL), Switzerland
-
Author Name: Assim Boukhayma
Affiliation: École Poly technique Fédérale de
Lausanne (EPFL), Switzerland
Author URL:
https://ieeexplore.ieee.org/author/37085418249
ID: 37085418249
Order: 2
Author Affiliations:
-
École Poly technique Fédérale de Lausanne (EPFL), Switzerland
-
Author Name: Christian Enz
Affiliation: École Poly technique Fédérale de
Lausanne (EPFL), Switzerland
Author URL:
https://ieeexplore.ieee.org/author/37269686200
ID: 37269686200
Order: 3
Author Affiliations:
-
École Poly technique Fédérale de Lausanne (EPFL), Switzerland
Image Sensor
- sensor_type: CMOS
- resolution: Not specified
- dynamic_range: Not specified
- pixel_size: Not specified
- dark_current: Not specified
Optical Data
- focal_length: Not specified
- aperture: Not specified
- field_of_view: Not specified
- distortion: Not specified
Performance Metrics
Applications & Benefits
- cell_imaging: Not specified
-
benefits: Deep sub-electron noise performance for
low-light applications.
Supporting Organizations
-
supported_by: École Polytechnique Fédérale de Lausanne
(EPFL)
Manuscript Details
- publication_date: 11-14 Dec. 2016
Relevancy Score
- score: 9
-
missing_fields:
- resolution
- dynamic_range
- pixel_size
- dark_current
- focal_length
- aperture
- field_of_view
- distortion
- frame_rate
- signal_to_noise_ratio
- sensitivity
- shutter_speed
- power_consumption
- applications_benefits.cell_imaging
- applications_benefits.benefits
- manuscript_details.publication_date
Processed JSON Filename
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