Importance sampling algorithms approximate non-Gaussian quotient mixtures arising in decentralized Gaussian mixture data fusion, yielding higher-fidelity GM approximations than prior techniques in target search and tracking examples.
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Decentralized Gaussian Mixture Fusion through Unified Quotient Approximations
Importance sampling algorithms approximate non-Gaussian quotient mixtures arising in decentralized Gaussian mixture data fusion, yielding higher-fidelity GM approximations than prior techniques in target search and tracking examples.