A Low Power Analogue Compressed Sensing Approach For Cmos Isfet Arrays

• doi: 10.1109/ISCAS58744.2024.10558464
• title: A Low Power Analogue Compressed Sensing Approach for CMOS ISFET Arrays
• publisher: IEEE
• isbn: 979-8-3503-3100-4
• issn: 0271-4302
• rank: 776
• access_type: LOCKED
• content_type: Conferences
• abstract: In this work, we propose a novel approach to integrate a scalable compressed sensing methodology in the analogue domain with a CMOS ISFET array. A current conveyor is employed with a switched capacitor to encode the output current from each ISFET sensor to a corresponding charge onto a capacitor, following by a pseudo-random non-zero diagonal sampling matrix that is generated by Linear Feedback Shift Registers (LSFR) for array sampling. The design also features a 12-bit Successive Approximation Register (SAR) ADC, enabling power efficient conversions at 50 KSamples/s using a 1.25 MHz clock, with an ENOB of 10.3. The 32 × 32 array is divided into 16 clusters, each containing 64 pixels arranged in an 8 × 8 configuration serving as a compressed sensing unit block. The overall system is designed under a 65 nm process occupying a silicon area of 0.375 mm2. It operates at a programmable frame rate of 30 - 240 fps, with an overall power consumption of 17.13 -117.23 μW, and a lowest energy per pixel of 394 pJ in compressed sensing mode. We verify the performance of the system with a PSNR comparison for image quality under two scenarios where CS is either enabled or disabled.
• article_number: 10558464
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10558464
• html_url: https://ieeexplore.ieee.org/document/10558464/
• abstract_url: https://ieeexplore.ieee.org/document/10558464/
• publication_title: 2024 IEEE International Symposium on Circuits and Systems (ISCAS)
• conference_location: Singapore, Singapore
• conference_dates: 19-22 May 2024
• publication_number: 10557746
• is_number: 10557828
• publication_year: 2024
• publication_date: 19-22 May 2024
• start_page: 1
• end_page: 5
• citing_paper_count: 0
• citing_patent_count: 0
• download_count: 182
• insert_date: 20240702
• index_terms:
  • ieee_terms:
    • Performance evaluation
    • Capacitors
    • Switches
    • Reconstruction algorithms
    • Silicon
    • Sensors
    • Registers
  • dynamic_index_terms:
    • Image Quality
    • Sample Matrix
    • Sample Matrices
    • Power Efficiency
    • Analog Domain
    • MHz Clock
    • Signal-to-noise
    • Signal-to-noise Ratio
    • Sparsity
    • Sparse Representation
    • Capacity Of Samples
    • Measurement Vector
    • Lowest Power
    • Nyquist Rate
    • Nyquist Sampling Rate
• isbn_formats:
  • format: Print on Demand(PoD) ISBN, value: 979-8-3503-3100-4, isbnType: New-2005
  • format: Electronic ISBN, value: 979-8-3503-3099-1, isbnType: New-2005
• authors:
  • Author Name: Shuanghua Liu
    Affiliation: Department of Electrical and Electronic Engineering, Centre for Bio-Inspired Technology, Imperial College, London, UK
    Author URL: https://ieeexplore.ieee.org/author/37089161209
    ID: 37089161209
    Order: 1
    Author Affiliations:
    • Department of Electrical and Electronic Engineering, Centre for Bio-Inspired Technology, Imperial College, London, UK
  • Author Name: Junming Zeng
    Affiliation: Department of Electrical and Electronic Engineering, Centre for Bio-Inspired Technology, Imperial College, London, UK
    Author URL: https://ieeexplore.ieee.org/author/37086500251
    ID: 37086500251
    Order: 2
    Author Affiliations:
    • Department of Electrical and Electronic Engineering, Centre for Bio-Inspired Technology, Imperial College, London, UK
  • Author Name: Pantelis Georgiou
    Affiliation: Department of Electrical and Electronic Engineering, Centre for Bio-Inspired Technology, Imperial College, London, UK
    Author URL: https://ieeexplore.ieee.org/author/37302145800
    ID: 37302145800
    Order: 3
    Author Affiliations:
    • Department of Electrical and Electronic Engineering, Centre for Bio-Inspired Technology, Imperial College, London, UK

Image Sensor

• sensor_type: CMOS ISFET
• resolution: 32x32 pixels
• dynamic_range: Not specified in the abstract
• pixel_size: Not specified in the abstract
• dark_current: Not specified in the abstract

Optical Data

• focal_length: Not specified in the abstract
• aperture: Not specified in the abstract
• field_of_view: Not specified in the abstract
• distortion: Not specified in the abstract

Performance Metrics

• frame_rate: 30 - 240 fps
• signal_to_noise_ratio: 64.78 dB (ADC SNR)
• sensitivity: Not specified in the abstract
• shutter_speed: Not specified in the abstract
• power_consumption: 17.13 - 117.23 µW
• noise: Not specified in the abstract

Applications & Benefits

• cell_imaging: Biosignal imaging, electrochemical sensing
• benefits: Low power operation, scalable compressed sensing for higher temporal resolution with good image quality

Supporting Organizations

• supported_by: Imperial College London

Manuscript Details

• publication_date: 19-22 May 2024

Relevancy Score

• score: 10
• missing_fields:
  • fill factor
  • quantum efficiency
  • readout speed
  • microlenses
  • on-chip colour filters
  • global or rolling shutters
  • backside illumination

Processed JSON Filename

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