• DocumentCode
    2469377
  • Title

    A ultra low power, wide input range MICS band channel selection filter on 65 nm CMOS

  • Author

    Yang, J. ; Tran, N. ; Bai, S. ; Fu, M. ; Skafidas, E. ; Mareels, I. ; Halpern, M.

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Univ. of Melbourne, Melbourne, VIC, Australia
  • fYear
    2010
  • fDate
    3-5 Nov. 2010
  • Firstpage
    218
  • Lastpage
    221
  • Abstract
    This paper proposes a low power MICS band receiver channel selection filter on 65 nm CMOS for implantable biomedical devices. This 5th-order elliptic OTA-C bandpass filter utilizes sub-threshold inverter based OTAs. In order to broaden input range of the filter, the first OTA stage is linearized by using the active-error feedforward technique. The overall filter only consumes 300 μA DC current under 1 V supply, while having an input range up to 0.6 Vpp. The total harmonic distortion (THD) is -58 dB for 1.3 MHz input signal at 0.5 Vpp swing. As a MICS band channel selection filter, it has 300 kHz bandwidth and exhibits more than 45 dB attenuation to the ajacent channel. By using NFET capacitors as OTAs, load, the chip area of this filter is minimized.
  • Keywords
    CMOS integrated circuits; biomedical communication; biomedical electronics; channel bank filters; feedforward; harmonic distortion; linearisation techniques; low-power electronics; OTA-C bandpass filter; active-error feedforward technique; band receiver channel selection filter; bandwidth 300 kHz; current 300 muA; frequency 1.3 MHz; implantable biomedical devices; size 65 nm; total harmonic distortion; ultra low power MICS; voltage 1 V; wide input range MICS; Band pass filters; CMOS integrated circuits; Feedforward neural networks; Low pass filters; Microwave integrated circuits; Power harmonic filters; Resonator filters;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Circuits and Systems Conference (BioCAS), 2010 IEEE
  • Conference_Location
    Paphos
  • Print_ISBN
    978-1-4244-7269-7
  • Electronic_ISBN
    978-1-4244-7268-0
  • Type

    conf

  • DOI
    10.1109/BIOCAS.2010.5709610
  • Filename
    5709610