一种高层次的圆目标航迹融合方法
A High-Level Track Fusion Scheme for Circular Quantities
摘要：
随着传感器的集成度越来越高，跟踪等信号处理功能的执行距离传感器越来越近。因此，高水平聚变正在兴起。这里提出的是一个高层次的融合计划，不仅包括线性，但循环量以及。蒙特卡罗实验被用来验证我们的新的融合算子，作为一个加权平均的包裹正常和冯-米塞斯分布。为了进一步验证新的融合算子，我们实现了一个完整的航迹级融合方案，并通过融合两个雷达传感器的测量结果进行了测试。
英文摘要：
As sensors get more and more integrated, signal processing functions, like tracking, are performed closer to the sensor. Consequently, high level fusion is on the rise. Presented here is a high level fusion scheme incorporating not only linear,but circular quantities as well. Monte Carlo experiments are used to verify our novel fusion operators that work as a weighted average for the Wrapped Normal and the von-Mises distribution. To further verify the new fusion operators, we implemented a full track level fusion scheme and tested it by fusing the measurements of two RADAR sensors.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
