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- W2363427588 abstract "Aiming at the unknown clutter intensity in multiple tracking,online estimation algorithm of clutter intensity based on entropy distribution is proposed.The clutter intensity is modeled by finite mixture model.The entropy distribution,which depends only on mixing weights,is adopted as the prior distribution of mixing parameters.The online estimation formulation of mixing weight is derived by Lagrange multiplier in the sense of maximum a posterior.Stochastic approximation procedure is regarded as the strategy of online estimation of component mean and covariance.The online estimation formulations of component mean and covariance are derived based on missing data.Simulation results show that the online estimation algorithm of clutter intensity based on entropy distribution improves the performance of probability hypothesis density filter in multiple target tracking." @default.
- W2363427588 created "2016-06-24" @default.
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- W2363427588 date "2012-01-01" @default.
- W2363427588 modified "2023-09-23" @default.
- W2363427588 title "Multiple target tracking based on online estimation of clutter intensity" @default.
- W2363427588 hasPublicationYear "2012" @default.
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