Approximate Chernoff fusion of Gaussian mixtures for ballistic target tracking in the re-entry phase

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• 作者：Kelin Lu^a ; ^{klu@buaa.edn.cn} ; Rui Zhou^a ; Jie Zhang^b
• 关键词：Ballistic target tracking ; Gaussian mixtures fusion ; Track-to-track fusion
• 刊名：Aerospace Science and Technology
• 出版年：2017
• 出版时间：February 2017
• 年：2017
• 卷：61
• 期：Complete
• 页码：21-28
• 全文大小：533 K
• 卷排序：61

文摘

A track-to-track fusion method to combine local estimates modeled with Gaussian mixture model is proposed for tracking a re-entry ballistic vehicle. An arbitrary power of a Gaussian mixture distribution is approximated with Gaussian mixture model using first order expansion approximation, which leads to an analytical fusion equation for approximate Chernoff fusion. In the end, we verify the effectiveness of the proposed fusion algorithm with a series of Monte Carlo simulations.