• DocumentCode
    2963590
  • Title

    An Improved Channel Estimation Method of TD-SCDMA System

  • Author

    Ying, Shi ; Xiaolin, Zhang ; Liran, Shen

  • Author_Institution
    Sch. of Inf. & Commun. Eng., Harbin Eng. Univ., Harbin, China
  • Volume
    2
  • fYear
    2011
  • fDate
    28-29 March 2011
  • Firstpage
    439
  • Lastpage
    442
  • Abstract
    B.Steiner channel estimation algorithm is commonly used in TD-SCDMA system, The algorithm is simple. However, due to the impact of background noise Makes the channel impulse response of the amplitude and delay relative to the true value have the error, reducing the system performance. Based on the B.Steiner channel estimation algorithm a channel estimation algorithm for using threshold value processing the channel impulse response has been proposed. The algorithm can effectively reduce the doppler frequency shift and noise. This article discusses the channel estimation based training sequence In the TD-SCDMA system. The mathematical model of the channel estimation is given, And describes the composition of the training sequence, the simulation model of the Channel estimation is given. using joint detection technology to simulation the channel estimation method. Experimental results showed that, based on training sequence channel estimation algorithm is close to the true value, Can significantly improve system performance. And reached the standard call.
  • Keywords
    channel estimation; code division multiple access; Doppler frequency shift; TD-SCDMA system; channel estimation method; channel impulse response; threshold value processing; Channel estimation; Joints; Mathematical model; Signal to noise ratio; System performance; Time division synchronous code division multiple access; Training; Channel estimation; TD-SCDMA; joint detection; threshold processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computation Technology and Automation (ICICTA), 2011 International Conference on
  • Conference_Location
    Shenzhen, Guangdong
  • Print_ISBN
    978-1-61284-289-9
  • Type

    conf

  • DOI
    10.1109/ICICTA.2011.394
  • Filename
    5750919