• DocumentCode
    2594910
  • Title

    Blind Channel Estimation Algorithm with Simplified Implementation for OFDM System

  • Author

    Wensheng, Zhu ; Youming, Li ; Xinxing, Zhou ; Jianding, Yu

  • Author_Institution
    Inst. of Commun. Technol., Ningbo Univ., Ningbo, China
  • Volume
    2
  • fYear
    2010
  • fDate
    24-25 April 2010
  • Firstpage
    274
  • Lastpage
    277
  • Abstract
    Fast and reliable channel estimation is very important for wireless communication transmission. A novel One-Cycle blind channel estimation algorithm based on cyclostationarity properties of OFDM signal is proposed in this paper. Without changing cycle frequency, the new algorithm is formed from using the two related z-transform values of delay parameter. Furthermore, a simplified algorithm based on partial spectrum information can further reduce computational complexity. Computer simulation results verify that the performance of the proposed One-Cycle algorithm is superior to that of the existing Two-Cycle algorithm. Although the simplified One-Cycle algorithm has some performance loss in high SNR region, its computational complexity is dramatically reduced.
  • Keywords
    OFDM modulation; Z transforms; channel estimation; computational complexity; radiocommunication; OFDM system; Z-transform values; computational complexity; computer simulation; cyclostationarity property; delay parameter; high SNR region; one-cycle blind channel estimation algorithm; partial spectrum information; two-cycle algorithm; wireless communication transmission; Blind equalizers; Channel estimation; Computational complexity; Data communication; Delay; OFDM; Statistical analysis; Statistics; Transmitters; Wireless communication; Blind channel estimation; Cycle frequency; Cyclostationarity; OFDM;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Networks Security Wireless Communications and Trusted Computing (NSWCTC), 2010 Second International Conference on
  • Conference_Location
    Wuhan, Hubei
  • Print_ISBN
    978-0-7695-4011-5
  • Electronic_ISBN
    978-1-4244-6598-9
  • Type

    conf

  • DOI
    10.1109/NSWCTC.2010.199
  • Filename
    5480648