An X-Band Microwave Life-Detection System

Chen, Kun-Mu; Misra, Debasmita; Wang, Huei; Chuang, Huey-Ru; Postow, Elliot

doi:10.1109/tbme.1986.325760

Cited by 260 publications

(112 citation statements)

References 3 publications

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“…As stated previously the amplitude and the phase of the received backscattered wave are modulated in accordance with the movement of breathing and heartbeat. The information associated to amplitude is generally negligible [6] and only the phase variation is considered. The signal at the receiving antenna can be expressed considering the following relation [4].…”

Section: Mathematical Formulationmentioning

confidence: 99%

“…Acoustical detectors such as geophones, are simple to use but they require quiet working environments, a condition difficult to reach especially in critical situations. Recently, microwave life-detection systems has been developed to remotely detect vital life signals for rescue missions [1][2][3][4][5][6]. Such kind of problems have been efficiently solved considering continuous wave or ultrawideband radars [7] which offer good localization and spatial accuracy.…”

Section: Introductionmentioning

confidence: 99%

“…All the cited methods consider the backscattered modulated wave generated when an human body is illumined by an electromagnetic wave. The extraction of information associated to breath and heartbeat signals is possible with an appropriate processing of the backscattered wave [6,7]. The aim of this work is the design and development of a lightweight microwave detection system based on a compact X-band radar to detect victims trapped under rubble and other obstacles.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A Rescue Radar System for the Detection of Victims Trapped Under Rubble Based on the Independent Component Analysis Algorithm

Donelli¹

2011

PIER M

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Abstract-This work presents a light-weight microwave system for the search and rescue of victims trapped under the rubble of collapsed building during an earthquake or other disasters. The proposed system based on a continuous wave X-band radar is able to detect respiratory and heart fluctuations: the information is extracted from the backscattered electromagnetic field exploiting independent component analysis (ICA) algorithm which provides an efficient noise and clutter cleaning. The proposed rescue radar is compact enough to be mounted onboard of a small unmanned aerial vehicle (UAV) in order to reach inaccessible or dangerous areas. The obtained experimental results show that the proposed detection method is able to successfully locate trapped victims with a reasonable degree of accuracy.

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Section: Mathematical Formulationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A Rescue Radar System for the Detection of Victims Trapped Under Rubble Based on the Independent Component Analysis Algorithm

Donelli¹

2011

PIER M

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“…For example, a CW microwave Doppler radar operating at 2.4 GHz was developed for multiple-mover sensing [11]. CW microwave Doppler radars have been widely used for vital sign detection and life detection [12][13][14][15], and for extracting the Doppler signatures for biometric characterization [16]. Signal processing and Doppler extraction method for CW Doppler radar were also discussed in [4,[17][18][19][20][21][22].…”

Section: Introductionmentioning

confidence: 99%

Analysis of Moving Human Micro-Doppler Signature in Forest Environments

Garcia-Rubia¹,

Kıłıc²,

Dang³

et al. 2014

PIER

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Abstract-Automatic detection of human motion is important for security and surveillance applications. Compared to other sensors, radar sensors present advantages for human motion detection and identification because of their all-weather and day-and-night capabilities, as well as the fact that they detect targets at a long range. This is particularly advantageous in the case of remote and highly cluttered radar scenes. The objective of this paper is to investigate human motion in highly cluttered forest medium to observe the characteristics of the received Doppler signature from the scene. For this purpose we attempt to develop an accurate model accounting for the key contributions to the Doppler signature for the human motion in a forest environment. Analytical techniques are combined with full wave numerical methods such as Method of Moments (MoM) enhanced with Fast Multipole Method (FMM) to achieve a realistic representation of the signature from the scene. Mutual interactions between the forest and the human as well as the attenuation due to the vegetation are accounted for. Due to the large problem size, parallel programming techniques that utilize a Graphics Processing Unit (GPU) based cluster are used.

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“…Remote sensing of heart and respiration activity by measuring Doppler shift in radio signals is a promising technique for unobtrusive health monitoring and life sensing, with proof of concept demonstrated for various applications [1][2][3]. Unfortunately, this principle has not been developed to the level of practical applications, mainly due to a lack of effective way to isolate desired target motion from other motion and other targets.…”

Section: Introductionmentioning

confidence: 99%