Cognitive Radio Oriented Wireless Networks. 12th International Conference, CROWNCOM 2017, Lisbon, Portugal, September 20-21, 2017, Proceedings

Research Article

Blind Symbol Rate Estimation of Faster-than-Nyquist Signals Based on Higher-Order Statistics

  • @INPROCEEDINGS{10.1007/978-3-319-76207-4_17,
        author={Albert Abell\^{o} and Damien Roque and Jean-Marie Freixe},
        title={Blind Symbol Rate Estimation of Faster-than-Nyquist Signals Based on Higher-Order Statistics},
        proceedings={Cognitive Radio Oriented Wireless Networks. 12th International Conference, CROWNCOM 2017, Lisbon, Portugal, September 20-21, 2017, Proceedings},
        proceedings_a={CROWNCOM},
        year={2018},
        month={3},
        keywords={Blind symbol rate estimation Spectrum sensing Faster-than-Nyquist signaling Cyclostationary signals Higher-order statistics},
        doi={10.1007/978-3-319-76207-4_17}
    }
    
  • Albert Abelló
    Damien Roque
    Jean-Marie Freixe
    Year: 2018
    Blind Symbol Rate Estimation of Faster-than-Nyquist Signals Based on Higher-Order Statistics
    CROWNCOM
    Springer
    DOI: 10.1007/978-3-319-76207-4_17
Albert Abelló,*, Damien Roque1, Jean-Marie Freixe2
  • 1: Université de Toulouse
  • 2: Eutelsat S.A.
*Contact email: aabellob@eutelsat.com

Abstract

Both faster-than-Nyquist (FTN) and cognitive radio go towards an efficient use of spectrum in radio communications systems at the cost of an added computational complexity at the receiver side. To gain the maximum potential from these techniques, non-data-aided receivers are of interest. In this paper, we use fourth-order statistics to perform blind symbol rate estimation of FTN signals. The estimator shows good performance results for moderate system’s densities beyond the Nyquist rate and for a reasonable number of received samples.