Resolvable Group State Estimation with Maneuver Movement Based on Labeled RFS

Resolvable Group State Estimation with Maneuver Based on Labeled RFS and Graph Theory

“…Different from these results, we considered the resolvable group tracking issue. This paper is an extended version of our conference paper (Reference [19]).…”

“…At present, the research results on the group target can be divided into two categories: the algorithm based on data association and the RFS. References [19,51,52] worked on the group target tracking filter based on the GLMB filter. Reference [51] considered the structure of the groups, but did not consider the impact of the cooperative relationship between group targets on the estimation, while References [19,52] made some work on collaborative noise.…”

Parameter estimation and tracking algorithm for resolvable group targets based on GLMB filter and RLS algorithm

“…In 2015, Beard et al proposed the gamma Gaussian inverse Wishart-LMB (GGIW-LMB) algorithm [24], which can estimate the number, states, and trajectories of the group targets. In the literature [25][26][27], graph theory is introduced to describe the relationship between group targets, and collaborative noise is proposed. Reference [28] proposed a resolvable group targets tracking algorithm based on graph theory and GLMB filter.…”