Tof Image Sensor With Pulsefrequencymodulation Pixel For Inpixel Code
Discrimination
- doi: 10.1109/ISCAS51556.2021.9401132
-
title: ToF Image Sensor with Pulse-Frequency-Modulation
Pixel for In-Pixel Code Discrimination
- publisher: IEEE
- isbn: 978-1-7281-9201-7
- issn: 2158-1525
- rank: 3864
- access_type: LOCKED
- content_type: Conferences
-
abstract: This paper presents a time-of-flight (ToF)
CMOS image sensor with pulse-frequency-modulation (PFM) pixel for
in-pixel code discrimination (CD). One of ToF's main problem is
interference between multiple sensors or malicious one by third party.
CD is a function that discriminates signal light from the others with
code modulation, which will be an effective countermeasure against such
interference. Proposed pixel contains a PFM circuit and counters, with
which in-pixel CD and distance measurement (DM) is tried to be realized.
In this paper, methods of CD and DM, circuit implementation are shown,
and HSPICE and C simulation demonstrates signal-to-background ratio
rejection of -7dB and 8dB signal-to-interference ratio for 128-bit CD
with less than 0.08% error.
- article_number: 9401132
-
pdf_url:
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9401132
-
html_url:
https://ieeexplore.ieee.org/document/9401132/
-
abstract_url:
https://ieeexplore.ieee.org/document/9401132/
-
publication_title: 2021 IEEE International Symposium on
Circuits and Systems (ISCAS)
- conference_location: Daegu, Korea
- conference_dates: 22-28 May 2021
- publication_number: 9401028
- is_number: 9401051
- publication_year: 2021
- publication_date: 22-28 May 2021
- start_page: 1
- end_page: 5
- citing_paper_count: 0
- citing_patent_count: 0
- download_count: 370
- insert_date: 20210427
-
index_terms:
-
ieee_terms:
- Semiconductor device measurement
- Systems operation
- Simulation
- Interference
- Optical sensors
- Integrated circuit modeling
- Signal to noise ratio
-
author_terms:
- image sensor
- time-of-flight
- pulse-frequency-modulation
- code discrimination
-
dynamic_index_terms:
- Image Sensor
- Camera Sensor
- Distancing Measures
- Light Signal
- Traffic Signal
- Multiple Sensors
- Circuit Implementation
- Signal-to-interference Ratio
- Signal To Interference Ratio
- Coded Modulation
- Coding Sequence
- Bitrate
- Ideal Situation
- Digital Signal Processing
- Time Division Multiple Access
- Time-division Multiple Access
- Gate Width
- Gate Widths
-
isbn_formats:
-
format: Print ISBN,
value: 978-1-7281-9201-7,
isbnType: New-2005
-
authors:
-
Author Name: N. Watanabe
Affiliation: School of Engineering, The University
of Tokyo, Tokyo, Japan
Author URL:
https://ieeexplore.ieee.org/author/37089403303
ID: 37089403303
Order: 1
Author Affiliations:
-
School of Engineering, The University of Tokyo, Tokyo, Japan
-
Author Name: M. Ikeda
Affiliation: School of Engineering, The University
of Tokyo, Tokyo, Japan
Author URL:
https://ieeexplore.ieee.org/author/37273902900
ID: 37273902900
Order: 2
Author Affiliations:
-
School of Engineering, The University of Tokyo, Tokyo, Japan
Image Sensor
- sensor_type: CMOS
- resolution: Not specified in the abstract
-
dynamic_range: Not explicitly mentioned (however,
performance metrics imply sensitivity to dynamic range adjustment)
- 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: The paper refers to applications in
industrial fields like automobiles and smartphones, and emphasizes
interference prevention in ToF-CIS.
-
benefits: The ability to discriminate signal light from
interference by using code modulation improves measurement accuracy and
effectiveness in various applications.
Supporting Organizations
-
supported_by: New Energy and Industrial Technology
Development Organization (NEDO), LAPIS Semiconductor, Tohoku University,
University of Tokyo.
Manuscript Details
- publication_date: 22-28 May 2021
Relevancy Score
- score: 9
-
missing_fields:
- fill factor
- quantum efficiency
- readout speed
- noise sources
Processed JSON Filename
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