文章基本信息

标题：A hybrid Hausdorff distance track correlation algorithm based on time sliding window
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作者：Yinlong Li ; Tianshu Zhang
期刊名称：MATEC Web of Conferences
电子版ISSN：2261-236X
出版年度：2021
卷号：336
页码：1-6
DOI：10.1051/matecconf/202133607015
语种：English
出版社：EDP Sciences
摘要：In multi-sensor target tracking, track correlation is the key to the unification of global situation. Hausdorff distance has been applied to power fault elimination, point cloud data, medical measurement, image segmentation, vehicle trajectory recognition and other directions. To solve the problem of track correlation, a hybrid Hausdorff distance track correlation algorithm based on time sliding window is proposed. The hybrid Hausdorff distance based on position, speed and azimuth is defined, and the time sliding window is added on this basis. Simulation results show that the proposed algorithm can maintain a high correct correlation rate under the conditions of target maneuver, time asynchronism, and inconsistent radar sampling frequency, the algorithm is superior to traditional track correlation algorithm.