Independent component analysis for semi-blind signal separation in MIMO mobile frequency selective communication channels

@article{Obradovic2004IndependentCA,
  title={Independent component analysis for semi-blind signal separation in MIMO mobile frequency selective communication channels},
  author={D Slobodan Obradovic and Nilesh Madhu and Andrei Szabo and Chiu Shun Wong},
  journal={2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541)},
  year={2004},
  volume={1},
  pages={53-58}
}
In this paper we address the problem of semi-blind source separation (SBSS) in frequency selective MIMO mobile communication channels. Semi-blindness stems from the fact that some average properties of the time-varying channel (mixing domain) are available at the transmitter. In this paper we first analytically show that when orthogonal frequency division multiplexing (OFDM) is employed, the original BSS problem is transformed into a set of standard ICA problems with complex mixing matrices… CONTINUE READING

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