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Joint channel and carrier frequency estimation for M-ary CPM over frequency-selective channel using PAM decomposition

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  • معلومة اضافية
    • Contributors:
      (OATAO), Open Archive Toulouse Archive Ouverte; Centre National de la Recherche Scientifique - CNRS (FRANCE); Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE); Université Toulouse III - Paul Sabatier - UT3 (FRANCE); Université Toulouse - Jean Jaurès - UT2J (FRANCE); Université Toulouse 1 Capitole - UT1 (FRANCE); Laboratoire de recherche en télécommunications spatiales et aéronautiques - TéSA (FRANCE); Télécommunications Spatiales et Aéronautiques - Telecommunications for Space ant Aeronautics (TéSA); Laboratoire de recherche coopératif dans les télécommunications spatiales et aéronautiques (TESA); Signal et Communications (IRIT-SC); Institut de recherche en informatique de Toulouse (IRIT); Université Toulouse 1 Capitole (UT1); Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse III - Paul Sabatier (UT3); Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP); Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse 1 Capitole (UT1); Université Fédérale Toulouse Midi-Pyrénées; Institut National Polytechnique (Toulouse) (Toulouse INP); THALES; Centre National d'Études Spatiales [Toulouse] (CNES)
    • بيانات النشر:
      IEEE, 2017.
    • الموضوع:
      2017
    • نبذة مختصرة :
      In this paper, we present a new data-aided carrier-recovery method for Continuous Phase Modulation (CPM) signals over frequency-selective channels. We first present a linear model of the received signal based on Mengali representation over selective channels and show how to use it to perform joint channel and carrier-frequency estimation. We also derive a low-complexity version of the estimator. Simulation results show that this method performs better than the optimal method suited to the Additive White Gaussian Noise (AWGN) channels.
    • File Description:
      application/pdf
    • الرقم المعرف:
      10.1109/icassp.2017.7952865
    • الرقم المعرف:
      edsair.doi.dedup.....1acce9321033700dfd9bef611877dd43