中文

Journal of Applied Sciences >

2016 , Vol. 34 >Issue 3: 286 - 292

DOI: https://doi.org/10.3969/j.issn.0255-8297.2016.03.005

Communication Engineering

Improved Blind Channel Estimation for MIMO-OFDM Systems

Expand
  • 1. Key Laboratory of Radar Signal Processing, Xidian University, Xi'an 710071, China;
    2. College of Communication and Information Engineering, Xi'an University of Science and Technology, Xi'an 710054, China

Received date: 2014-07-25

  Revised date: 2016-03-01

  Online published: 2016-05-30

Fold

Abstract

Channel estimation for MIMO-OFDM systems by linear precoding requires repeated calculation of ambiguity matrices. To solve the problem, a blind channel estimation algorithm is proposed. It unifies different channel ambiguity matrices by processing crosscorrelation matrices of received signal, and then estimates the channel using an iterative method. Simulation results show that the proposed algorithm has good mean square error performance and convergence, and less computational complexity compared with existing channel estimation methods based on linear precoding.

Key words： multiple-input multiple-output (MIMO); orthogonal frequency division multiplexing (OFDM); precoding; blind channel estimation

Cite this article

LI Guo-min, LIU Xin, KANG Xiao-fei, LIAO Gui-sheng . Improved Blind Channel Estimation for MIMO-OFDM Systems[J]. Journal of Applied Sciences, 2016 , 34(3) : 286 -292 . DOI: 10.3969/j.issn.0255-8297.2016.03.005

References

[1] Azhar A H, Tran T, Obrien D. A gigabit/s indoor wireless transmission using MIMO-OFDM visible-light communications[J]. IEEE Photonics Technology Letters, 2013, 25(2):171-174.
[2] Hanzo L, Akhtman J, Jiang M, Wang L. MIMO-OFDM for LTE, WIFI and WIMAX coherent versus non-coherent and cooperative turbo-transceivers[M]. United Kingdom:John Wiley and Sons, Ltd, 2010:33-54.
[3] Bagadi K P, Das S. MIMO-OFDM channel estimation using pilotcarriers[J]. International Journal of Computer Applications, 2010, 2(3):81-86.
[4] Simon E P, Ros L, Hijazi H, Garrier J. Joint carrier frequency offset and channel estimation for OFDM systems via the EM algorithm in the presence of very high mobility[J]. IEEE Transaction on Signal Processing, 2012, 6(2):754-765.
[5] Yu J L, Zhang B, Chen P T. Blind and semi-blind channel estimation with fast convergence for MIMO-OFDM systems[J]. Signal Processing, 2014, 95:1-9.
[6] Tu C, Champagne B. Subspace-based blind channel estimation for MIMO-OFDM systems with reduced time averaging[J]. IEEE Transactions on Vehicular Technology, 2010, 59(3):1539-1544.
[7] Fang S H, Chen J Y, Lin J S, Shieh M D, Hsu J Y. Subspace-based blind channel estimation for MIMO-OFDM systems with repetition index[C]//Vehicular Technology Conference (VTC Fall), Las Vegas, 2013:1-5.
[8] Zhang R. Blind OFDM channel estimation through linear precoding:a subspace approach[C]//Signals, Systems and Computers, 2002. Conference Record of the Thirty-Sixth Asilomar Conference on. IEEE, 2002, 1:631-633.
[9] Ghadrdan S, Salari S, Ahmadian M. Joint blind channel estimation for MIMO OFDM systems via nonredundant linear precoding[C]//International Conference on Communications and Information Technology (ICCIT), Aqaba, Jordan, 2011:59-63.
[10] Petropulu A P, Zhang R, Lin R. Blind OFDM channel estimation through simple linear precoding[J]. IEEE Transactions on Wireless Communications, 2004, 3, (2):647-655.
[11] Ganesh R S, Kumari D G. A survey on channel estimation techniques in MIMO-OFDM mobile communication systems[J]. International Journal of Scientific & Engineering Research, 2013, 4(5):1850-1855.
[12] Shin C, Powers E J. Blind channel estimation for MIMO-OFDM systems using virtual carriers[C]//Global Telecommunications Conference, Dallas Texas, 2004:2465-2469.
[13] Talwar S, Viberg M, Paulraj A. Blind separation of synchronous co-channel digital signals using an antenna array. part I. algorithms[J]. IEEE Transactions on Signal Processing, 1996, 44(5):1184-1197.

Options
Outlines

/

〈 〉