• DocumentCode
    463665
  • Title

    Analog to Feature Conversion

  • Author

    Ray, G. ; Ming Chen

  • Author_Institution
    Boeing Phantom Works, Seattle, WA, USA
  • Volume
    2
  • fYear
    2007
  • fDate
    15-20 April 2007
  • Abstract
    The analog to digital conversion of signals constrains their processing due to the limitation of bandwidth, power and size required for the wide band signals being processed in emerging wireless standards. The solution proposed in this paper is a specially constructed analog processing block ahead of the traditional ADC within a typical RF front-end involving an antenna, filter, LNA, and AGC. This analog block includes a structured matrix of tuneable analog delay elements together with analog summers and attenuators. The analog block can be programmed on-the-fly to form spectral estimates, narrow band filters, correlation detectors, and more. Finally, we show some improved results from the design of FIR filters for these structures.
  • Keywords
    FIR filters; analogue-digital conversion; attenuators; automatic gain control; low noise amplifiers; radiocommunication; summing circuits; AGC; FIR filters; LNA; RF front-end; analog processing block; analog summers; analog to digital conversion; analog to feature conversion; correlation detectors; narrow band filters; spectral estimates; tuneable analog delay elements; wide band signals; wireless standards; Analog-digital conversion; Attenuators; Bandwidth; Delay; Detectors; Finite impulse response filter; Narrowband; Radio frequency; Signal processing; Wideband; Delay circuits; Filters; Fourier transforms; Mixed analog-digital integrated circuits; Tunable circuits and devices;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference on
  • Conference_Location
    Honolulu, HI
  • ISSN
    1520-6149
  • Print_ISBN
    1-4244-0727-3
  • Type

    conf

  • DOI
    10.1109/ICASSP.2007.366248
  • Filename
    4217421