2008
DOI: 10.1007/s11235-008-9087-z
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UWB radar: vision through a wall

Abstract: There exist a lot of methods for vision through an opaque medium. At present UWB (Ultra-Wideband) technology is used more and more because it is suitable for localization and detection of a human body behind a wall. First of all this paper describes known methods for vision through walls, which can be divided into two general groups-imaging and non-imaging systems. Secondly it describes the state of the art UWB radar for this application and its specifics. Finally it depicts our UWB radar system (centre freque… Show more

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Cited by 20 publications
(3 citation statements)
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“…As a result, FMCW and SFCW radar technologies were proposed to address the drawbacks [26][27][28]. Nevertheless, CW, FMCW, and SFCW radars suffer from limited penetration capability [29].…”
Section: Introductionmentioning
confidence: 99%
“…As a result, FMCW and SFCW radar technologies were proposed to address the drawbacks [26][27][28]. Nevertheless, CW, FMCW, and SFCW radars suffer from limited penetration capability [29].…”
Section: Introductionmentioning
confidence: 99%
“…Recently, UWB technology has been applied for various applications due to its advantages such as low cost, low power consumption, precise localization, and high penetration. Local and personal area networks, military communications, vehicular radar , ground‐penetrating radar , through wall imaging , medical imaging , and precision locations systems are good examples of such applications.…”
Section: Introductionmentioning
confidence: 99%
“…Being capable of detecting human beings, it can also be applied to medicine for diagnosis of diseases [3,4] or to security service for through wall surveillance [5,6]. Based on the similar principles, another important application of UWB radar is to detect survivors buried under earthquake rubbles, which microwave pulses transmitted by the radar can penetrate through earthquake rubbles to detect survivors' chest-wall motion mainly caused by respiration [7].…”
Section: Introductionmentioning
confidence: 99%