用于研究人体生物节律和介质物体内部不均匀性的单静态脉冲超宽带雷达天线

IF 0.6 Q4 AUTOMATION & CONTROL SYSTEMS AUTOMATIC CONTROL AND COMPUTER SCIENCES Pub Date : 2024-03-07 DOI:10.3103/S0146411624010036
V. Aristov
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引用次数: 0

摘要

摘要 本文研究了从准单静态天线系统过渡到单静态天线系统的先决条件和原始方法,并将其应用于浅层的超宽带脉冲接触雷达次表层探测。为此,研究了超宽带电 "弓形拉杆 "和磁 "双四 "天线的联合应用。这项工作中提出的相互排列方式可以将天线中心在与信号发射-接收方向正交的平面上的距离减小到零。以探测人体以检测和确定生物节律参数和直径 58 厘米的树干为例,对所获得的组合进行相应处理的全面测试结果表明,中心频率为 1.5 千兆赫的雷达效果令人满意。同时,在可接受的直接信号电平下,采用所述设计对接收到的有用信号的抑制仅为 2.3 分贝,不会导致雷达频闪接收器输入过载。
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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Monostatic Pulsed Ultrawideband Radar Antenna for Studying Biological Rhythms of the Human Body and Internal Inhomogeneities of Dielectric Objects

This paper presents a study of the prerequisites and the original way of transition from a quasi-monostatic antenna system to a monostatic one as applied to ultrawideband pulsed contact radar subsurface sounding at shallow depths. For this purpose, the joint application of ultrawideband electric “Bow-Tie” and magnetic “Bi-Quad” antennas is investigated. The mutual arrangement proposed in this work allows reducing to zero the distance between the centers of the antennas in the plane orthogonal to the direction of signal emission-reception. The results of full-scale tests with the corresponding processing of the obtained ensembles by the example of probing the human body for the detection and determination of the parameters of biological rhythms and a tree trunk 58 cm in diameter showed satisfactory results for the radar with a central frequency of 1.5 GHz. At the same time, the suppression of the useful signal received due to the application of the described design was only 2.3 dB at an acceptable level of the direct signal, which does not lead to overloading of the radar stroboscopic receiver input.

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来源期刊
AUTOMATIC CONTROL AND COMPUTER SCIENCES
AUTOMATIC CONTROL AND COMPUTER SCIENCES AUTOMATION & CONTROL SYSTEMS-
CiteScore
1.70
自引率
22.20%
发文量
47
期刊介绍: Automatic Control and Computer Sciences is a peer reviewed journal that publishes articles on• Control systems, cyber-physical system, real-time systems, robotics, smart sensors, embedded intelligence • Network information technologies, information security, statistical methods of data processing, distributed artificial intelligence, complex systems modeling, knowledge representation, processing and management • Signal and image processing, machine learning, machine perception, computer vision
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