Kullback-Leibler divergence approach to partitioned update Kalman filter


General information State: Published Ministry of Education publication type: A3 Part of a book or another research book Organisations: Department of Electronics and Communications Engineering, Research group: Wireless Communications and Positioning, Department of Mathematics, Research group: MAT Intelligent Information Systems Laboratory, Research group: System-on-Chip for GNSS, Wireless Communications and Cyber-Physical Embedded Computing, Chalmers University of Technology Authors: Lohan, E., Seco-Granados, G., Wymeersch, H., Nykänen, O., Nurmi, J. Pages: 331-332 Publication date: 2017

DOI: 10.1016/j.sigpro.2016.07.007

Cite this paper

@article{Raitoharju2017KullbackLeiblerDA, title={Kullback-Leibler divergence approach to partitioned update Kalman filter}, author={Matti Raitoharju and {\'A}ngel F. Garc{\'i}a-Fern{\'a}ndez and Robert Pich{\'e}}, journal={Signal Processing}, year={2017}, volume={130}, pages={289-298} }