Radar Range-Breathing Separation for the Automatic Detection of Humans in Cluttered Environments

Radar Range-Breathing Separation for the Automatic Detection of Humans in Cluttered Environments
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DOI:
10.1109/jsen.2020.3024961
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发表时间:
2021-07-01
影响因子:
4.3
通讯作者:
Caddemi, Alina
Caddemi, Alina
中科院分区:
综合性期刊2区
文献类型:
--
作者:
Cardillo, Emanuele;Caddemi, Alina

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在这篇文章中,一种新的传感方法的自动检测和测距的人体目标在复杂的环境中进行了详细的介绍。人员检测不需要预先定义目标阈值,从而最小化错误警报事件的可能性。此外,所提出的方法允许在不增加系统复杂性和成本的情况下解决由于在同一辐射束内存在多个对象而导致的伪影。一个强大的图形表示,命名为范围呼吸图,利用快速使读者知道确切的人类位置,采用呼吸率作为人类和非人类目标之间的辨别的关键要素。该方法进行了分析描述,而详尽的仿真进行确认的可靠性和适用性的方法方面的最先进的。距离呼吸分离方法的有效性证明了通过使用两个不同的雷达板工作在24 GHz和122 GHz的频率。实验结果表明,该方法在复杂背景下识别人的有效性
In this article, a new sensing approach for the automatic detection and ranging of human targets in cluttered environments is detailed. The person detection does not require to preliminarily define a target threshold, thus minimizing the likelihood of false alarm events. Moreover, the proposed approach allows to resolve the artifacts due to the presence of multiple objects within the same radiation beam without increasing the system complexity and cost. A powerful graphical representation, denominated range-breathing graph, is exploited for quickly making the reader aware of the exact human location, employing the breathing rate as the key element for discerning between humans and non-human targets. The method is analytically described while exhaustive simulations are carried out for confirming the reliability and suitability of the method with regard to the state of art. The effectiveness of the range-breathing separation approach is demonstrated by using two different radar boards operating at the frequencies of 24 GHz and 122 GHz. The obtained results show the general validity of this approach for identifying humans in complex cluttered scenarios