MIMO channel estimation using superimposed training

@article{Meng2004MIMOCE,
  title={MIMO channel estimation using superimposed training},
  author={Xiaohong Meng and Jitendra K. Tugnait},
  journal={2004 IEEE International Conference on Communications (IEEE Cat. No.04CH37577)},
  year={2004},
  volume={5},
  pages={2663-2667 Vol.5}
}
Channel estimation for multiple-input multiple-output (MIMO) time-invariant or slowly time-varying channels is considered using superimposed training. A user-specific periodic (non-random) training sequence is arithmetically added (superimposed) at the low power of each user's information sequence at the transmitter before modulation and transmission. Two versions of a two-step approach are adopted wherein we first estimate the channel using only the first-order statistics of the data. Using… CONTINUE READING
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