Bias compensation based recursive least-squares identification algorithm for MISO systems

@article{Ding2006BiasCB,
  title={Bias compensation based recursive least-squares identification algorithm for MISO systems},
  author={Feng Ding and Tongwen Chen and Li Qiu},
  journal={IEEE Transactions on Circuits and Systems II: Express Briefs},
  year={2006},
  volume={53},
  pages={349-353}
}
For multi-input single-output output-error systems, the least-squares (LS) estimates are biased. In order to obtain the unbiased estimates, we present a recursive LS identification algorithm based on a bias compensation technique. The basic idea is to eliminate the estimation bias by adding a correction term in the LS estimates, and further to derive a bias compensation based recursive LS algorithm. Finally, we test the proposed algorithms by simulation and show their effectiveness. 

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