Advanced Search
Volume 30 Issue 8
Jan.  2011
Turn off MathJax
Article Contents
Fang Cheng-zhi, Du Si-dan, Ni Liang-fang. SDR-Based Blind Channel Estimation of Time-varying OFDM Systems[J]. Journal of Electronics & Information Technology, 2008, 30(8): 1801-1805. doi: 10.3724/SP.J.1146.2007.00178
Citation: Fang Cheng-zhi, Du Si-dan, Ni Liang-fang. SDR-Based Blind Channel Estimation of Time-varying OFDM Systems[J]. Journal of Electronics & Information Technology, 2008, 30(8): 1801-1805. doi: 10.3724/SP.J.1146.2007.00178

SDR-Based Blind Channel Estimation of Time-varying OFDM Systems

doi: 10.3724/SP.J.1146.2007.00178
  • Received Date: 2007-01-29
  • Rev Recd Date: 2007-10-08
  • Publish Date: 2008-08-19
  • Some Quadratic Programs (QP) have been presented for the blind channel estimation and signal detection of the time-varying OFDM systems. In this paper a method is proposed to turn the QP problem into the optimization of a Semi-Definite Program (SDP) based on the Semi-Definite Relaxation (SDR) technique. Compared to the original QPs which reach the optimal solution with exponential complexity, the SDP could be solved efficiently in polynomial time. In order to reduce the complexity involved in the transform from the solution of the SDPs to the solution of the original QPs, the correlation property of the OFDM time-frequency response between adjacent subchannels or time-slots is exploited to devise a novel randomization strategy. The simulation proves the effectiveness of the new method.
  • loading
  • Sampath H, Talwar S, and Tellado J, et al.. A fourthgenerationMIMO-OFDM broadband wireless system: Design,performance and field trial results. IEEE CommunicationMagazine, 2002, 40(9): 143-149.[2]Chang Mingxian and Su Yu T. Blind and semi-blinddetections of OFDM signals in fading channels[J].IEEE Trans.on Communication.2004, 52(5):744-754[3]Lee Jong-Ho, Han Jae-Choong, and Kim Seong-Cheol. Jointcarrier frequency synchronization and channel estimation forOFDM systems via the EM algorithm[J].IEEE Trans. onVehicular Technology.2006, 55(1):167-172[4]Tao Cui and Tellambura C. Joint data detection andchannel estimation for OFDM systems[J].IEEE Trans. onCommunication.2006, 54(4):670-679[5]Wiesel A, Eldar Yonina C, and Shlomo Shamai. Semidefiniterelaxation for detection of 16-QAM signaling in MIMOchannels[J].IEEE Signal Processing Letters.2005, 12(9):653-656[6]Sturm J F. Using SEDUMI 1.02: A Matlab toolbox foroptimizations over symmetric cones. Optim. Math. Soft., 1999,32(1): 11-12.[7]Helmberg C, Rendl F, Vanderbei R J, and Wolkowicz H. Aninterior point method for semidefinite programming[J].SIAM J.Optim.1996, 6(2):342-361[8]Ma Wing-Kin, Ching Pak-Chung, and Ding Zhi. Semidefiniterelaxation based multiuser detection for M-ary PSK multiusersystems[J].IEEE Trans. on Signal Process.2004, 52(10):2862-2872[9]Wang X M, Lu W S, and Antoniou A. A near optimalmultiuser detector for DS-CDMA systems using semidefiniteprogramming relaxation[J].IEEE Trans. on Signal Process.2003, 51(9):2446-2450[10]Matthias P. Mobile Fading Channels: Modeling.[J].Analysis andSimulation. New York: John Wiley Sons.2001,:-[11]Ma Xiao-li, Tepedelenlioglu C, Giannakis G B, and BararossaS. Non-data-aided frequency-offset and channel estimation forOFDM with null subcarriers: Identifiability, algorithms, andperformance. IEEE JSAC, 2001, 19(12): 2504-2515.[12]Chang Mingxian. A new derivation of least-squares-fittingprinciple for OFDM channel estimation[J].IEEE Trans. onWireless Communication.2006, 5(4):726-731[13]Necker M C and Stuber G L. Totally blind channel estimationfor OFDM on fast varying mobile radio channels[J].IEEE Trans.on Wireless Communication.2004, 3(5):1514-1525
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article views (3176) PDF downloads(721) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return