Memorias de investigación
Research Publications in journals:
Bayesian Sequential Track Formation
Year:2014

Research Areas
  • Electronic technology and of the communications

Information
Abstract
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. This method requires knowledge of the posterior density of the vector-valued state. The second assigns the labeling that maximizes the probability that the current multi-target state estimate is optimally linked with the available tracks at the previous time step. In this case, we only require knowledge of the random finite-set posterior density without labels.
International
Si
JCR
Si
Title
Ieee Transactions on Signal Processing
ISBN
1053-587X
Impact factor JCR
3,198
Impact info
Volume
62
10.1109/TSP.2014.2364013
Journal number
24
From page
6366
To page
6379
Month
DICIEMBRE
Ranking
Participants
  • Autor: Ángel F. García Fernández Curtin University, Australia
  • Autor: Mark R. Morelande The University of Melbourne, Australia
  • Autor: Jesus Grajal De la Fuente UPM

Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Microondas y Radar
  • Departamento: Señales, Sistemas y Radiocomunicaciones