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

Liu, Weifeng; Chi, Yudong

doi:10.3390/s19061307

Cited by 8 publications

(2 citation statements)

References 51 publications

(68 reference statements)

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“…Reference [ 30 ] gives the implementation method

-Generalized Labeled Multi-Bernoulli (

-GLMB) filter of GLMB, and the truncation method is used to refine the

-GLMB in Reference [ 31 ]. In Reference [ 32 , 33 ], Vo et al simplified the prediction step and update step of GLMB filter into a single step. This new method to implementation is known as Gibbs GLMB.…”

Section: Introductionmentioning

confidence: 99%

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A Detection and Tracking Algorithm for Resolvable Group with Structural and Formation Changes Using the Gibbs-GLMB Filter

Chi

Liu

2020

Sensors

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In the field of resolvable group target tracking, further study on the structure and formation of group targets is helpful to reduce the tracking error of group bluetargets. In this paper, we propose an algorithm to detect whether the structure or formation state of group targets changes. In this paper, a Gibbs Generalized Labeled Multi-Bernoulli (GLMB) filter is used to obtain the estimation of discernible group target bluestates. After obtaining the state estimation of the group target, we extract relevant information based on the estimation data to judge whether the structure or formation state has changed. Finally, several experiments are carried out to verify the algorithm.

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“…Reference [ 30 ] gives the implementation method

-Generalized Labeled Multi-Bernoulli (

-GLMB) filter of GLMB, and the truncation method is used to refine the

Section: Introductionmentioning

confidence: 99%

“…Under the framework of RFS, the work of modeling and tracking estimation for multi-extended targets is contributed in the Reference [ 37 ]. In the Reference [ 33 ], we apply a Gibbs-GLMB filter to estimate the state of resolvable group targets and track them.…”

Section: Introductionmentioning

confidence: 99%