Articles | Volume 12, issue 5
Research article
29 May 2019
Research article |  | 29 May 2019

The cost function of the data fusion process and its application

Simone Ceccherini, Nicola Zoppetti, Bruno Carli, Ugo Cortesi, Samuele Del Bianco, and Cecilia Tirelli


Total article views: 1,690 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,063 565 62 1,690 60 68
  • HTML: 1,063
  • PDF: 565
  • XML: 62
  • Total: 1,690
  • BibTeX: 60
  • EndNote: 68
Views and downloads (calculated since 22 Feb 2019)
Cumulative views and downloads (calculated since 22 Feb 2019)

Viewed (geographical distribution)

Total article views: 1,690 (including HTML, PDF, and XML) Thereof 1,503 with geography defined and 187 with unknown origin.
Country # Views %
  • 1


Latest update: 21 Jul 2024
Short summary
We have analytically calculated the expected value and the variance of the cost function that is minimized in the complete data fusion and propose a procedure that uses these quantities to constrain the values of the inconsistency covariance matrices. These matrices have to be added to the error covariance matrices of the measurements in order to fuse measurements that are inconsistent because of different vertical grids, not perfect time and space coincidence and different forward model errors.