Track association and fusion with heterogeneous local trackers

Huimin Chen, Y. Bar-Shalom
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引用次数: 13

Abstract

Summary form only given. The problem of track-to-track association and track fusion has been considered in the literature where the local trackers assume the same target motion model and send their local state estimates to the fusion center on demand. Many issues arise when local trackers use different target motion models or even operate on different target state spaces. In this case, selecting an appropriate track association method at the fusion center is essential to the performance of the overall tracking system. In this paper, we examine several track association methods with different assumptions on the target distribution in a surveillance region. We found that the track association performance can be very different among these methods even when they have the same desired significance level of the correct association probability. We recommend to use the track association method that best approximates the likelihood ratio test with complete knowledge of the target distribution. In addition, existing track fusion techniques have to be modified to account for the model mismatch among some of the local trackers. The track association and fusion problem is illustrated by a two dimensional tracking example with both radar tracks and electronic support measures (ESM) tracks.
异质局部跟踪器的航迹关联与融合
只提供摘要形式。文献中考虑了航迹到航迹关联和航迹融合问题,其中局部跟踪器假设相同的目标运动模型,并根据需要将其局部状态估计发送到融合中心。当局部跟踪器使用不同的目标运动模型甚至在不同的目标状态空间上运行时,会出现许多问题。在这种情况下,在融合中心选择合适的航迹关联方法对整个跟踪系统的性能至关重要。在本文中,我们研究了几种基于不同目标分布假设的航迹关联方法。我们发现,即使这些方法具有相同的正确关联概率的期望显著性水平,这些方法之间的轨迹关联性能也可能存在很大差异。我们建议使用轨迹关联方法,它最接近具有完整目标分布知识的似然比检验。此外,现有的航迹融合技术必须进行改进,以考虑到一些局部跟踪器之间的模型不匹配。以雷达航迹和电子保障措施航迹的二维跟踪为例说明航迹关联和融合问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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