Revista: IEEE Transactions on Aerospace and Electronic Systems. Vol. 53. Nº 5. Oct. 2017. Page(s): 2317 - 2330 

DOI: 10.1109/TAES.2017.2691958

Autores: Luis A. Úbeda Medina; Ángel García Fernández; Jesús Grajal de la Fuente

A novel particle filter for multiple target tracking with track-before-detect measurement models is proposed. Particle filters efficiently perform target tracking under nonlinear or non-Gaussian models. However, their application to multiple target tracking suffers from the curse of dimensionality. We introduce an efficient particle filter for multiple target tracking which deals with the curse of dimensionality better than previously developed methods. The proposed algorithm is tested and compared to other multiple target tracking particle filters.