Blind Identification of SIMO Wiener Systems Based on Kernel Canonical Correlation Analysis

@article{Vaerenbergh2013BlindIO,
  title={Blind Identification of SIMO Wiener Systems Based on Kernel Canonical Correlation Analysis},
  author={Steven Van Vaerenbergh and Javier V{\'i}a and Ignacio Santamar{\'i}a},
  journal={IEEE Transactions on Signal Processing},
  year={2013},
  volume={61},
  pages={2219-2230}
}
We consider the problem of blind identification and equalization of single-input multiple-output (SIMO) nonlinear channels. Specifically, the nonlinear model consists of multiple single-channel Wiener systems that are excited by a common input signal. The proposed approach is based on a well-known blind identification technique for linear SIMO systems. By transforming the output signals into a reproducing kernel Hilbert space (RKHS), a linear identification problem is obtained, which we propose… CONTINUE READING
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