Analysis Of Cmos Active Pixel Sensors As Linear Shiftinvariant Receivers

• doi: 10.1109/ICCW.2015.7247374
• title: Analysis of CMOS active pixel sensors as linear shift-invariant receivers
• publisher: IEEE
• isbn: 978-1-4673-6304-4
• issn: 2164-7038
• rank: 1629
• access_type: LOCKED
• content_type: Conferences
• abstract: Although CMOS active pixel sensor (APS) cameras are used as receivers for low-bandwidth visible light communications (VLC), they have typically not been used to receive high-bandwidth VLC signals. However, by selectively scanning pixels on the image sensor, the sampling rate of CMOS APS pixels can be greatly improved, enabling them to capture high-bandwidth signals while maintaining the ability to scale to high image resolutions. To analyze CMOS APS image sensors for potential use in high data-rate applications, the CMOS active pixel is modeled as a linear shift-invariant (LSI) system. Using this LSI model, the frequency response (as a function of device and timing parameters) and the optimal exposure time for each sample are derived. The LSI model is also used to investigate the effects of clock-jitter on CMOS APS VLC receivers.
• article_number: 7247374
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7247374
• html_url: https://ieeexplore.ieee.org/document/7247374/
• abstract_url: https://ieeexplore.ieee.org/document/7247374/
• publication_title: 2015 IEEE International Conference on Communication Workshop (ICCW)
• conference_location: London, UK
• conference_dates: 8-12 June 2015
• publication_number: 7226899
• is_number: 7247062
• publication_year: 2015
• publication_date: 8-12 June 2015
• start_page: 1398
• end_page: 1403
• citing_paper_count: 12
• citing_patent_count: 0
• download_count: 305
• insert_date: 20150914
• index_terms:
  • ieee_terms:
    • CMOS integrated circuits
    • Frequency response
    • Semiconductor device modeling
    • Large scale integration
    • Clocks
    • Bandwidth
    • Receivers
  • dynamic_index_terms:
    • Active Sensors
    • Active Pixel Sensor
    • High-resolution
    • Exposure Time
    • Image Resolution
    • Frequency Response
    • Image Sensor
    • Camera Sensor
    • Visible Light Communication
    • Optimal Exposure Time
    • Time-variant
    • Time Variation
    • Sampling Period
    • Integration Time
    • Input Signal
    • Quality Factor
    • Q-factor
    • Angular Frequency
    • Impulse Response
    • Analog-to-digital Converter
    • Analog-to-digital
    • Digital-to-analog Converter
    • Heaviside Function
    • Unit Step Function
    • Heaviside Step Function
    • Unit Step
    • Proxemics
    • Body In Space
    • Visual Code
    • Parasitic Capacitance
    • Visible Light Communication System
    • Low-cost Applications
    • Increasing Exposure Time
    • Nonlinear Distortion
    • Spatial Multiplexing
    • Spatial Division Multiplexing
    • Response Gain
    • Small-signal Model
    • Nyquist Criterion
    • Nyquist Criteria
    • Linear Time-invariant
    • Optical Signal
• isbn_formats:
  • format: USB ISBN, value: 978-1-4673-6304-4, isbnType: New-2005
  • format: Electronic ISBN, value: 978-1-4673-6305-1, isbnType: New-2005
• authors:
  • Author Name: Jimmy C. Chau
    Affiliation: Electrical and Computer Engineering, Boston University, Boston, Massachusetts
    Author URL: https://ieeexplore.ieee.org/author/37944585400
    ID: 37944585400
    Order: 1
    Author Affiliations:
    • Electrical and Computer Engineering, Boston University, Boston, Massachusetts
  • Author Name: Thomas D.C. Little
    Affiliation: Electrical and Computer Engineering, Boston University, Boston, Massachusetts
    Author URL: https://ieeexplore.ieee.org/author/37333851900
    ID: 37333851900
    Order: 2
    Author Affiliations:
    • Electrical and Computer Engineering, Boston University, Boston, Massachusetts

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: CMOS active pixel sensors (APS) are used in various applications including visible light communication (VLC), automotive communications, and smartphone cameras.
• benefits: CMOS APS image sensors can scale to high image resolutions and have potential for high data-rate VLC applications.

Supporting Organizations

• supported_by: Supported by the Engineering Research Centers Program of the National Science Foundation.

Manuscript Details

• publication_date: 8-12 June 2015

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
  • noise

Processed JSON Filename

request_20402bcb-8927-4f79-afa6-808eac55e26c-analysis_of_cmos_active_pixel_sensors_as_linear_shiftinvariant_receivers.json