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首页> 外文期刊>電子情報通信学会技術研究報告. 電磁界理論 >Through-the-Wall Human Respiration Detection Using Ultra-wideband Impulse Radar Mounted on UAV
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Through-the-Wall Human Respiration Detection Using Ultra-wideband Impulse Radar Mounted on UAV

机译:通过安装在UAV上的超宽带脉冲雷达的墙面呼吸检测

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摘要

DRONESAR-X is a multisensory drone system developed for supporting the search and rescue mission in the disaster-stricken area. The purpose of this system is to detect and locate the survivor in any possible location and position. An ultra-wideband impulse radar is employed as the main sensor mounted on the drone to detect the buried survivor. However, this task is very challenging since this signal is very weak compared with the background noise and clutter. Also, the drone vibration arm instability because of the wind effect and unbalanced propeller rotation also have to be considered carefully. Thus, this paper proposes a new signal processing method to extract and enhance the obscured human respiration sign working based on analytic signal and singular value segregation. The experimental study on the controlled laboratory environment shows that the proposed method able to suppress the vibration effect simulated by the unbalanced motor motion and also enhance the respiration sign to be detected by the radar system.
机译:DronesaR-X是一种用于支持灾区搜索和救援任务的多福音杂志系统。该系统的目的是在任何可能的位置和位置检测和定位幸存者。采用超宽带脉冲雷达作为安装在无人机上的主传感器以检测埋藏的幸存者。然而,这项任务非常具有挑战性,因为与背景噪声和杂波相比,该信号非常弱。而且,由于风效应和不平衡的螺旋桨旋转也必须仔细考虑由于风效应和不平衡的螺旋桨旋转而不稳定的无人机振动臂不稳定。因此,本文提出了一种基于分析信号和奇异值偏析提取和增强模糊的人呼吸符号的新信号处理方法。对受控实验室环境的实验研究表明,所提出的方法能够抑制由不平衡电动机运动模拟的振动效果,并增强雷达系统检测呼吸符号。

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