Artículo internacional:
Año: 2014, Bayesian Sequential Track Formation
Revista: IEEE TRANSACTIONS ON SIGNAL PROCESSING, VOL. 62, NO. 24, DECEMBER 15, 2014. Pp. 6366-6379.
Autores: Ángel F. García-Fernández; Mark R. Morelande; Jesús Grajal.
This paper presents a theoretical framework for track building in multiple-target scenarios from the Bayesian point of view. It is assumed that the number of targets is fixed and known. We propose two optimal methods for building tracks sequentially. The first one uses the labelling of the current multitarget state estimate that minimizes the mean-square labeled optimal subpattern assignment error.