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1-Tx/5-Rx 穿墙超宽带切换天线阵雷达用于检测静止人体。

1-Tx/5-Rx Through-Wall UWB Switched-Antenna-Array Radar for Detecting Stationary Humans.

机构信息

School of Engineering, King Mongkut's Institute of Technology Ladkrabang, Bangkok 10520, Thailand.

出版信息

Sensors (Basel). 2020 Nov 29;20(23):6828. doi: 10.3390/s20236828.

Abstract

This research proposes a through-wall S-band ultra-wideband (UWB) switched-antenna-array radar scheme for detection of stationary human subjects from respiration. The proposed antenna-array radar consists of one transmitting (Tx) and five receiving antennas (Rx). The Tx and Rx antennas are of Vivaldi type with high antenna gain (10 dBi) and narrow-angle directivity. The S-band frequency (2-4 GHz) is capable of penetrating non-metal solid objects and detecting human respiration behind a solid wall. Under the proposed radar scheme, the reflected signals are algorithmically preprocessed and filtered to remove unwanted signals, and 3D signal array is converted into 2D array using statistical variance. The images are reconstructed using back-projection algorithm prior to Sinc-filtered refinement. To validate the detection performance of the through-wall UWB radar scheme, simulations are carried out and experiments performed with single and multiple real stationary human subjects and a mannequin behind the concrete wall. Although the proposed method is an odd concept, the interest of this paper is applying the 1-Tx/5-Rx UWB switched-antenna array radar with the proposed method that is capable of distinguishing between the human subjects and the mannequin behind the concrete wall.

摘要

本研究提出了一种用于检测静止人体呼吸的穿墙 S 波段超宽带(UWB)切换天线阵雷达方案。所提出的天线阵雷达由一个发射(Tx)和五个接收天线(Rx)组成。Tx 和 Rx 天线均为 Vivaldi 型,具有高天线增益(10dBi)和窄角指向性。S 波段频率(2-4GHz)能够穿透非金属固体,并在实体墙后检测人体呼吸。在提出的雷达方案下,反射信号经过算法预处理和滤波以去除不需要的信号,并使用统计方差将 3D 信号阵转换为 2D 阵。使用反向投影算法在 sinc 滤波细化之前对图像进行重建。为了验证穿墙 UWB 雷达方案的检测性能,进行了模拟,并在混凝土墙后使用单个和多个真实静止人体和人体模型进行了实验。虽然所提出的方法是一个奇特的概念,但本文的兴趣在于应用具有提出的方法的 1-Tx/5-Rx UWB 切换天线阵雷达,该方法能够区分人体和人体模型。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf8f/7731326/56174cfe377f/sensors-20-06828-g001.jpg

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