• DocumentCode
    3389753
  • Title

    Channel estimation design for Air-ground OFDM Data Link

  • Author

    Chuan-Xue, Jin ; Jian-Hao, Hu ; Shao-Qian, Li

  • Author_Institution
    Nat. key Lab. of Commun., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
  • fYear
    2009
  • fDate
    23-25 July 2009
  • Firstpage
    56
  • Lastpage
    58
  • Abstract
    To fulfill future airport capacity requirements, the proposed data link has to be a high capacity, high rate data link. Air-ground data link system can be used in orthogonal frequency division multiplexing (OFDM) systems to improve communication quality and capacity. A channel estimation design method for OFDM system by using correlation of pilot sequences has been proposed in this paper. The main point of this algorithm is the autocorrelation of the sequences. This paper presents a method for optimum training sequences design and the channel estimation implementation that follows. By using these training sequences, in frequency domain, we can get the channel frequency response easily; in time domain, we can get the data fading which are between the adjacent pilot training symbols by some means of interpolation. Simulation and implementation results indicates that this method can obtain good system performance and with low complexity.
  • Keywords
    OFDM modulation; airports; channel estimation; correlation methods; frequency-domain analysis; interpolation; microwave landing systems; time-domain analysis; VHF band; air-ground OFDM data link; airport capacity requirement; channel estimation design; communication quality; frequency domain; orthogonal frequency division multiplexing system; pilot sequence; sequence autocorrelation; time domain analysis; Airports; Autocorrelation; Channel estimation; Design methodology; Fading; Frequency domain analysis; Frequency response; Interpolation; OFDM; System performance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, Circuits and Systems, 2009. ICCCAS 2009. International Conference on
  • Conference_Location
    Milpitas, CA
  • Print_ISBN
    978-1-4244-4886-9
  • Electronic_ISBN
    978-1-4244-4888-3
  • Type

    conf

  • DOI
    10.1109/ICCCAS.2009.5250555
  • Filename
    5250555