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.
Liu, Monte Carlo Strategies in Scientific Computing, Springer, New York, 2001
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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.