Measurement driven birth model for the generalized labeled multi-Bernoulli filter
Signal Processing
2026-04-07 v1
Abstract
This paper presents a measurement driven birth (MDB) model for the generalized labeled multi-Bernoulli (GLMB) filter. The MDB model adaptively generates target births based on measurement data, thereby eliminating the dependence of \textit{a priori} knowledge of target birth distributions. Numerical results are provided to demonstrate the performance.
Cite
@article{arxiv.2604.03918,
title = {Measurement driven birth model for the generalized labeled multi-Bernoulli filter},
author = {S Lin and BT Vo and SE Nordholm},
journal= {arXiv preprint arXiv:2604.03918},
year = {2026}
}