Congreso:  IEEE Workshop on Statistical Signal Processing, 2011, Niza, France. 28-30 june 2011. Pp. 749–752

Autores: A.F. García-Fernández, Jesús Grajal.

We create and compare three sequential hypothesis tests for multiple target detection using particle filters. The algorithm with best performance assigns a variable number of particles to each hypothesis according to the posterior probabilities to optimise computational resources. Besides, the posterior probabilities of the hypotheses are calculated in a robust way regarding sample degeneracy.