Resolvable Group State Estimation with Maneuver Based on Labeled RFS and Graph Theory
Weifeng Liu, Yudong Chi · Sensors · 2019
In this paper, multiple resolvable group target tracking was considered in the frame of random finite sets. In particular, a group target model was introduced by combining graph theory with the labeled random finite sets (RFS). This accounted for dependence between group members. Simulations were presented to verify the proposed algorithm.