2025/01/19 by Mahler, Ronald
#Computation (stat.CO) #FOS: Computer and information sciences #Methodology (stat.ME)
paper · doi:10.48550/arxiv.2501.11189
This paper is a sequel of the 2019 paper [5]. It demonstrates the following: a) the Poisson multi-Bernoulli mixture (PMBM) approach to detected vs. undetected (U/D) targets cannot be rigorously formulated using either the two-step or single-step multitarget recursive Bayes filter (MRBF); b) it can, however, be partially salvaged using a novel single-step MRBF; c) probability hypothesis density (PHD) filters can be derived for both the original "S-U/D" approach in [5] and the novel "D-U/D" approach; d) important U/D formulas in [5] can be verified using purely algebraic methods rather than the intricate statistical analysis employed in that paper; and e) the claim, that PMBM filters can propagate detected and undetected targets separately in parallel, is doubtful.