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October 8, 2025Open Access

Sensor Fusion Methods for Gaussian Mixture Models

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Decentralized consensus-based techniques improve state estimation in networks of agents, indicating promising applications.

The decentralized consensus-based fusion technique unifies estimates from multiple agents without centralized control.
This method applies to scenarios with identical prior estimates, as well as cases with varying initial Gaussian mixtures.
It ensures a consistent posterior estimate across the network, even without local observations from agents.
The approach enhances state estimation efficiency in distributed settings, facilitating real-time decision-making.

Paranjape et al. (2025) studied this question.

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