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Target Identification Using Multi-radar Fusion

机译:使用多雷达融合的目标识别

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摘要

The problem of target recognition using signatures collected by a multi-radar system is investigated in this paper. A comparison between the performances of target recognition systems that fuse the observed signatures with those that fuse the identification decision is established. Multi-radar systems interrogating the same target provide multi-aspect signatures that can enhance, when fused properly, the recognition performance. This paper proposes a signatures fusion scheme as well as a decision fusion mechanism. The recognition performance assuming a target with unknown azimuth is assessed using both systems, and a comparison is established. The performance is assessed using real radar signatures recorded in a compact range setting. The paper highlights scenarios where a multi-radar system provides little advantage for target recognition purposes, and when it can significantly improve the recognition performance. The same approach can be used when dealing with other types of networked sensors.
机译:本文研究了使用多雷达系统收集的签名进行目标识别的问题。建立了将观察到的签名融合在一起的目标识别系统的性能与融合了识别决策的目标识别系统的性能之间的比较。询问同一目标的多雷达系统提供了多方面的特征,可以正确融合后增强识别性能。本文提出了一种签名融合方案以及一种决策融合机制。使用这两个系统评估假定方位角未知的目标的识别性能,并进行比较。使用记录在紧凑范围设置中的真实雷达信号来评估性能。本文重点介绍了多雷达系统在目标识别方面几乎没有优势的情况,并且可以显着提高识别性能。处理其他类型的网络传感器时,可以使用相同的方法。

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