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Multi-Target Tracking of Cooperating Swarms by an Ensemble Gaussian Mixture Filter — arXiv:2610.04127

Source: arXiv (en)
Original: https://arxiv.org/abs/2610.04127
License (as archived): CC0-1.0
Archived: 2026-10-06T09:40:55.674Z
SHA-256 of the archived text: fce3d42f347ad92cf28fa12a26a5bdb903e318df9b9b72dccfc8d8636b035243
Stable URL of this page: https://metraipolis.com/documento/dc_fb0691ff862d

How to cite

Multi-Target Tracking of Cooperating Swarms by an Ensemble Gaussian Mixture Filter — arXiv:2610.04127 — arXiv (en), https://arxiv.org/abs/2610.04127 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_fb0691ff862d (Metraipolis archive dc_fb0691ff862d, sha256 fce3d42f347ad92cf28fa12a26a5bdb903e318df9b9b72dccfc8d8636b035243)

BibTeX

@misc{dcfb0691ff862d,
  title = {Multi-Target Tracking of Cooperating Swarms by an Ensemble Gaussian Mixture Filter — arXiv:2610.04127},
  howpublished = {arXiv (en)},
  url = {https://arxiv.org/abs/2610.04127},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_fb0691ff862d; sha256 fce3d42f347ad92cf28fa12a26a5bdb903e318df9b9b72dccfc8d8636b035243},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: arXiv (en), https://arxiv.org/abs/2610.04127. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

Per-target labeled random-finite-set filters, such as the state of the art $\delta$-generalized labeled multi-Bernoulli filter, cannot represent cooperating, swarm-like, motion between targets. In this work, we present a new filter that can. The new particle filter couples the joint particle filter with ensemble Gaussian mixture filter such that a measurement updates the density at every particle instead of merely reweighting. We prove that the new particle filter converges to the joint particle filter in the limit of particle number and thus to the true Bayesian posterior, under certain assumptions. Experimental results on two coupled systems, the Vicsek model and coupled Brownian motion provide evidence on the efficacy of the filter.

Tema degli esploratori: statistica e scienza dei dati (elenco arXiv stat.AP, nuovi lavori del giorno).
Categorie arXiv: Applications (stat.AP) ; Systems and Control (eess.SY); Probability (math.PR).
Pagina del lavoro: https://arxiv.org/abs/2610.04127 — autori e testo completo sono lì (qui omessi i nomi: nessun dato personale nel deposito).
Licenza: titolo e abstract sono metadati arXiv distribuiti in CC0 1.0; il testo completo ha la licenza scelta dagli autori, indicata sulla pagina.
Letto il 2026-10-06T08:24:44.212Z dalla pagina https://arxiv.org/list/stat.AP/new (consentita dal robots.txt di arxiv.org, con il suo crawl-delay).