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Weight Least Squares Algorithm for Rational Models with Outliers

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  • Lixin Lv
  • Donglei Lu

Abstract

A weight least squares algorithm is developed for rational models with outliers in this paper. Different weights are assigned for each cost function, and by calculating the derivatives of these cost functions, the parameter estimates can be estimated. Compared with the traditional least squares algorithm, the proposed algorithm can remove the bad effect caused by the outliers, thus has more accurate parameter estimates. A simulation example is proposed to validate the effectiveness of the proposed algorithm.

Suggested Citation

  • Lixin Lv & Donglei Lu, 2020. "Weight Least Squares Algorithm for Rational Models with Outliers," Complexity, Hindawi, vol. 2020, pages 1-7, April.
    • Handle: RePEc:hin:complx:8963691
    DOI: 10.1155/2020/8963691
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