结合点质量和粒子滤波的目标跟踪

2010 IEEE Aerospace Conference Pub Date : 2010-03-06 DOI:10.1109/AERO.2010.5446678

U. Orguner, Per Skoglar, D. Tornqvist, F. Gustafsson

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引用次数: 7

摘要

本文提出了一种结合点质量滤波器和粒子滤波器的方法，该方法利用了点质量滤波器的支持和粒子滤波器中接近当前估计的高粒子密度。结果是对意外过程事件具有鲁棒性，但仍然具有低误差协方差的滤波器。这个过滤器对于目标跟踪应用特别有用，因为目标机动会突然发生不可预测的变化。

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Combined point-mass and particle filter for target tracking

This paper presents a combined Point Mass Filter (PMF) and Particle Filter (PF), which utilizes the support of the PMF and the high particle density in the PF close to the current estimate. The result is a filter robust to unexpected process events but still with low error covariance. This filter is especially useful for target tracking applications, where target maneuvers suddenly can change unpredictably.

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2010 IEEE Aerospace Conference

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