Journal of Systems Engineering and Electronics ›› 2009, Vol. 31 ›› Issue (01): 18-20,82.

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MIMO channel estimation and performance analysis using superimpose training sequences

XIAO Hai-lin1, OUYANG Shan1, NIE Zai-ping2, CHEN Zi-qiang1   

  1. 1. Coll. of Information and Communication, Guilin Univ. of Electronic and Technology, Guilin 541004, China;
    2. Coll. of Electronic Engineering, Univ. of Electronic Science and Technology of China, Chengdu 610054, China
  • Received:2007-09-10 Revised:2008-09-02 Online:2009-01-25 Published:2010-01-03

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Abstract: An MIMO channel estimation model using superimposed training sequences is proposed,which doesn’t take any extra signal spectral and has high accuracy.Through exploiting the least square method,a closed-form solution for the estimation of variance and the lower bound of channel capacity,as well as a rather compact Cramer-Rao bound are derived.Simulation results show that the system has higher performance by using superimposed training sequences than that using training sequences,which is improved about 5 dB.Moreover,the algorithm has a simple structure and low computation complexity,which is very promising in the reality wireless communication.

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