多目标跟踪的联合概率数据关联平滑算法

1988 American Control Conference Pub Date : 1988-06-15 DOI:10.1109/ACC.1988.4172781

A. Mahalanabis, Bin Zhou

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引用次数: 0

摘要

研究了一种基于联合概率数据关联的多目标递归跟踪固定滞后平滑算法。通过仿真实验证明了在雷达跟踪问题中引入一个或两个采样周期的时滞可以提高航迹估计的精度。

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A Joint Probabilistic Data Association Smoothing Algorithm for Multitarget Tracking

This paper is concerned with the development of a joint probabilistic data association based fixed-lag smoothing algorithm for the recursive tracking of multiple targets in cluttered environment. The improvement in accuracy of track estimation achieved by introducing a time lag of one or two sampling periods for a radar tracking problem are also demonstrated by using simulation experiment.

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来源期刊

1988 American Control Conference

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