Computer Science ›› 2017, Vol. 44 ›› Issue (3): 114-117.doi: 10.11896/j.issn.1002-137X.2017.03.025

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Identification Method for OFDM Signal Based on MUSIC Algorithm

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 identification methods for the short cyclic prefix OFDM signal,we proposed a identification method for OFDM signal based on MUSIC algorithm.The method first analyzes the structure characteristic of OFDM signal,then implements singular value decomposition for the autocorrelation matrix and extracts all the singular value matrix.Finally,the algorithm identifies the OFDM signal according to the number of larger non-zero singular values of the matrix.The experimental results shows that the proposed algorithm just need less OFDM symbols to be able to effectively identify the short cyclic prefix OFDM signal and has better performance than the conventional algorithm.

Key words: OFDM,Cyclic prefix,MUSIC algorithm,Singular value decomposition

[1] HAN N,ZHENG G,SOHN S H,et al.Cyclic autocorrelationbased blind OFDM detection and identification for cognitive radio[C]∥IEEE 4th International Conference on Wireless Communications Networking and Mobile Computing.2008:1-5.
[2] 张晶晶.基于小波变换的OFDM信号识别技术研究[D].西安:西安电子科技大学,2009.
[3] QI T,YANG H,ZHANG H M.Application Research of Military Wireless Multimedia Communication Baesd on OFDM Technology[J].Computer Knowledge and Thchnology,2010(4):951-952.(in Chinese) 齐涛,杨浩,张宏珉.基于OFDM的军事无线多媒体通信应用研究[J].电脑知识与技术,2010(4):951-952.
[4] REDDY S B,YCEK T,ARSLAN H.An efficient blind modulation detection for adaptive OFDM systems[C]∥Vehicular Technology Conference,IEEE 58th.2003:1895-1899.
[5] CHATTERJEE S,FERNADNO W A C.Blind estimation ofchannel and modulation scheme in adaptive modulation schemes for OFDM-CDMA based 4G systems[J].IEEE Transactions on Consumer Electronics,2004,50(4):1065-1075.
[6] HIJAZI H,ROS L.Polynomial estimation of time-varying multipath gains with intercarrier interference mitigation in OFDM systems[J].IEEE Transaction on Vehicular Technology,2009,58(1):140-151.
[7] PANAYIRCI E,S,ENOL H,POOR H V.Joint channel estimation,equalization,and data detection for OFDM systems in the presence of very high mobility[J].IEEE Transactions on Signal Processing,2010,58(8):4225-4238.
[8] ABOUTORAB N,HARDJAWANA W,VUCETIC B.A new ite-rative Doppler-assisted channel estimation joint with parallel ICI cancellation for high-mobility MIMO-OFDM systems[J].IEEE Transactions on Vehicular Technology,2012,61(4):1577-1589.
[9] LI G H,WANG K R,JIN H.Robust method of detecting OFDMsignals based on cyclic autocorrelation[J].Application Research of Computers,2012,9(2):714-716.(in Chinese) 李国汉,王可人,金虎.一种基于循环相关的OFDM信号稳健检测法[J].计算机应用研究,2012,29(2):714-716.
[10] HAN G,LI J D,LI C L.Study of blind detection techniques in adaptive OFDM[J].Journal of Xidian University,2006,3(4):602-606.(in Chinese) 韩钢,李建东,李长乐.自适应OFDM中信号盲检测技术[J].西安电子科技大学学报(自然科学版),2006,33(4):602-606.
[11] EDFORS O,SANDELL M,JAN-JAAP V D B,et al.OFDMchannel estimation by singular value decomposition[J].IEEE Transactions on Communications,1998,46(7):931-939.
[12] 刘汝哲.基于循环平稳的非合作OFDM信号检测与识别[D].北京:北京邮电大学,2013.
[13] YANG W,HUANG D S,MA Z H.Root-MUSIC with real-valued eigen-decomposition for coherent signals based on cross-correlation vector reconstruction[J].Application Research of Computers,2010(11):4254-4256.(in Chinese) 杨武,黄登山,马振华.基于互相关矢量重构的解相干实值Root-MUSIC算法[J].计算机应用研究,2010(11):4254-4256.

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