• DocumentCode
    2624953
  • Title

    A very low power and low signal 5 bit 50 M samples/s double sampling pipelined ADC for Monolithic Active Pixel Sensors in high energy physics and biomedical imaging applications

  • Author

    Dahoumane, M. ; Bouvier, J. ; Dzahini, D. ; Martel, L.Gallin ; Lagorio, E. ; Hostachy, J.Y. ; Hu, Y.

  • Author_Institution
    Institut pluridisciplinaire Hubert Curien (IPHC), 23, rue du Loess, 67037 Strasbourg France
  • fYear
    2008
  • fDate
    19-25 Oct. 2008
  • Firstpage
    2091
  • Lastpage
    2097
  • Abstract
    The use of CMOS Monolithic Active Pixel Sensors (MAPS) for high precision minimum ionizing particle tracking has been proven to be a viable and powerful novel experimental technique. Possible applications will strongly depend on a successful implementation of on-chip hit recognition and sparsification schemes. For this aim, a 5 bit very low power and low level signal analog to digital converter (ADC) using a double sampling switched capacitor technique has been implemented in 0.35µm CMOS technology. A non-resetting sample and hold stage is integrated. This first stage compensates both the amplifier offset effect and the input common mode voltage fluctuations. The converter is composed of three successive 1.5 bit pipeline stages followed by a 2 bit flash stage. The prototype consists of 16 ADC double-channels; each one is sampling at 50 MS/s and dissipates only 1.38 mW at 2 V supply voltage. A bias pulsing stage is integrated in the circuit. Therefore, the analog part is switched OFF or ON in less than 1 µs. The size of the ADC is 80 µm × 1.4 mm. This corresponds to the pitch of 4 pixel columns in which each one is 20 µm wide and can be easily integrated in the MAPS.
  • Keywords
    Analog-digital conversion; Biomedical imaging; Biosensors; CMOS image sensors; CMOS technology; Capacitors; Image sensors; Particle tracking; Pixel; Sampling methods;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Nuclear Science Symposium Conference Record, 2008. NSS '08. IEEE
  • Conference_Location
    Dresden, Germany
  • ISSN
    1095-7863
  • Print_ISBN
    978-1-4244-2714-7
  • Electronic_ISBN
    1095-7863
  • Type

    conf

  • DOI
    10.1109/NSSMIC.2008.4774909
  • Filename
    4774909