Computer Science ›› 2017, Vol. 44 ›› Issue (4): 207-212.doi: 10.11896/j.issn.1002-137X.2017.04.045

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Blind Estimation Method for OFDM Parameter Based on Symbol Kurtosis

ZHANG Hai-chuan and LEI Ying-ke   

  • Online:2018-11-13 Published:2018-11-13

Abstract: Aiming at the poor performance and the large required OFDM symbol number of conventional estimation method for the parameter of OFDM signal when the cyclic-prefix length is short.A method based on symbol kurtosis was proposed to estimate the parameter of OFDM signal.Firstly,we used the trial values of related parameter of OFDM signal in the sample spacing to demodulate the received signal.Secondly,we constructed the symbol kurtosis according to the demodulated baseband symbol.Finally,we proved that the joint estimation for cyclic-prefix length and useful symbol length can be achieved by detecting the lowest value of symbol kurtosis.The experimental simulation results show that the proposed method overcomes the shortcoming of conventional estimation method that it is difficult to estimate the parameter of OFDM signal when the cyclic prefix length is short,and the parameter of OFDM signal could be accurately estimated using less symbols than conventional estimation method.

Key words: OFDM,Symbol kurtosis,Cyclicprefix,Joint estimation

[1] LASORTE N.The history of orthogonal frequency-division mul-tiplexing[M]∥IEEE Communication Magzine.2009:26-35 .
[2] ALNAFFOURI T Y.An EM-based forward-backward Kalman filter for the estimation of time-variant channels in OFDM[J].IEEE Transactions on Signal Processing,2007,55(7):3924-3930.
[3] CHIN W L.ML estimation of timing and frequency offsets usingdistinctive correlation characteristics of OFDM signals over dispersive fading channels[J].IEEE Transactions on Vehicular Technology,2011,60(2):444-456.
[4] PARK B,CHEON K O.A blind OFDM synchronization algorithm based on cyclic correlation systems[J].IEEE Signal Processing Letters,2004,11(2):83-85.
[5] SHI M,WEI S.Blind OFDM parameters estimation for software defined radio[J].IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks,2007,10(3):733-738.
[6] CAO P,PENG H,DONG Y K.Blind detection and parameterestimation algorithm for OFDM signals based on cyclic prefix[J].Journal of Information University,2010,1(2):196-200.(in Chinese) 曹鹏,彭华,董延坤.一种基于循环前缀的OFDM盲检测及参数估计算法[J].信息工程大学学报,2010,11(2):196-200.
[7] LIU J G,WANG X B,NADEAU J.Blind parameter estimation for OFDM interception receiver with iterative cyclostationary analysis[C]∥Military Communication Conference Track Communication and Network Systems.2011:2211-2215.
[8] ISHII H,WORNELL G.OFDM blind parameter identificationand transmission parameter estimation[C]∥IEEE International Conference on Personal.2005:242-247.
[9] PUNCHIHEWA A,VIJAY K B,CHARLES D.Blind estimation of OFDM parameters in cognitive radio networks[J].IEEE Transactions on Wireless Communications,2007,10(3):48-54.
[10] COLERI S,ERGEN M,BAHAI A.Channel estimation tech-niques based on pilot arrangement in OFDM systems[J].IEEE Transations Broadcast,2002,48(3):223-229.
[11] DOBRE O A,BARNESS Y,WEI S.A survey of automatic mo-dulation classification techniques classical:approaches and new developments[J].IET Communications,2007,1(2):137-156.
[12] PHAM T H,MCLOUGHLIN I V,FAHMYS A.Robust and efficient OFDM synchronization for FPGA-based radios[J].Circuits System Signal Process,2014,33(8):2475-2493.
[13] HOUCKE S,CHEVREUIL A,LOUBATON P.Blind equaliza-tion:case of an unknown symbol period[J].IEEE Transactions on Signal Processing,2003,51(3):781-793.

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