Comparison of Total Least Squares and Least Squares for Four- and Seven-parameter Model Coordinate Transformation

@article{Wu2016ComparisonOT,
  title={Comparison of Total Least Squares and Least Squares for Four- and Seven-parameter Model Coordinate Transformation},
  author={You Wu and Jun Liu and Hui Ge},
  journal={Journal of Applied Geodesy},
  year={2016},
  volume={10},
  pages={259 - 266}
}
Total least squares (TLS) is a technique that solves the traditional least squares (LS) problem for an errors-invariables (EIV) model, in which both the observation vector and the design matrix are contaminated by random errors. Fourand seven-parameter models of coordinate transformation are typical EIV model. To determine which one of TLS and LS is more effective, taking the fourand sevenparameter models of Global Navigation Satellite System (GNSS) coordinate transformation with different… CONTINUE READING

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