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A 128-Tap Complex FIR Filter Processing 20 Giga-Samples/s in a Single FPGA

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  • معلومة اضافية
    • Contributors:
      Computer arithmetic (ARENAIRE); Inria Grenoble - Rhône-Alpes; Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire de l'Informatique du Parallélisme (LIP); École normale supérieure de Lyon (ENS de Lyon); Université de Lyon-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL); Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure de Lyon (ENS de Lyon); Université de Lyon-Centre National de la Recherche Scientifique (CNRS); Laboratoire de l'Informatique du Parallélisme (LIP); Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS); Alcatel Lucent Bell Labs; ALCATEL; ANR-07-TCOM-0022,TCHATER,Terminal Cohérent Hétérodyne Adaptatif TEmps Réel(2007)
    • بيانات النشر:
      CCSD
      IEEE
    • الموضوع:
      2010
    • Collection:
      HAL Lyon 1 (University Claude Bernard Lyon 1)
    • نبذة مختصرة :
      International audience ; To enable 40Gb/s data transmission over optical fibres using QPSK modulation, the first step of the receiver signal-processing pipeline is a 128-tap FIR filter that compensates the chromatic dispersion due to the medium. We present an implementation of this FIR filter in the largest Stratix-IV GX device that is able to process 20 giga-samples per second, where each sample is a complex number with 5+5 bits resolution. This FFT-based architecture processes 128 complex samples per cycles at a frequency of 156MHz. The FFT and inverse FFT pipelines use ad-hoc memory-based constant multipliers well suited to the FPGA features, while the multiplications in the Fourier domain use the FPGA embedded DSP blocks. This FPGA is thus able to perform more than 2 tera-operations per second. The precision of the intermediate signals is chosen to ensure that the error of the output signal with respect to the Matlab reference is never more than one least significant bit.
    • الدخول الالكتروني :
      https://ens-lyon.hal.science/ensl-00542950
      https://ens-lyon.hal.science/ensl-00542950v1/document
      https://ens-lyon.hal.science/ensl-00542950v1/file/2010-36.pdf
    • Rights:
      info:eu-repo/semantics/OpenAccess
    • الرقم المعرف:
      edsbas.14D05D33