• DocumentCode
    742624
  • Title

    Blind iterative maximum likelihood-based frequency and transition time estimation for frequency hopping systems

  • Author

    Kuo-Ching Fu ; Yung-Fang Chen

  • Author_Institution
    Dept. of Commun. Eng., Nat. Central Univ., Jhongli, Taiwan
  • Volume
    7
  • Issue
    9
  • fYear
    2013
  • Firstpage
    883
  • Lastpage
    892
  • Abstract
    Timing synchronisation and frequency estimation are two major estimation problems for frequency-hopping spread spectrum systems. We present a blind scheme for estimating frequency and transition time in an iterative fashion: the iterative disassemble and assemble algorithm. The proposed scheme does not require initial random guesses as with common iterative algorithms. Improper initial guesses may suffer from the problem of convergence to the local maximum. The proposed approach can converge to the global maximum in order to achieve the solution. The proposed scheme offers a much lower computational complexity than that of the maximum-likelihood greedy search algorithm. Moreover, it also outperforms existing schemes with comparable complexity. The simulation results demonstrate the efficacy of the proposed approach.
  • Keywords
    computational complexity; greedy algorithms; iterative methods; maximum likelihood estimation; search problems; spread spectrum communication; synchronisation; blind iterative maximum likelihood-based frequency; computational complexity; estimation problems; frequency estimation; frequency hopping systems; frequency-hopping spread spectrum; frequency-hopping spread spectrum systems; iterative assemble algorithm; iterative disassemble algorithm; iterative fashion; maximum-likelihood greedy search algorithm; timing synchronisation; transition time estimation;
  • fLanguage
    English
  • Journal_Title
    Communications, IET
  • Publisher
    iet
  • ISSN
    1751-8628
  • Type

    jour

  • DOI
    10.1049/iet-com.2012.0557
  • Filename
    6574960