Review-Microwave Radar Sensing Systems for Search and Rescue Purposes

Van, Nguyen Thi Phuoc; Tang, Liqiong; Demir, Veysel; Hasan, Syed Faraz; Minh, Nguyễn Đức; Mukhopadhyay, Subhas Chandra

doi:10.3390/s19132879

Cited by 58 publications

(19 citation statements)

References 109 publications

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“…In a general pulsed Doppler radar, the time variation of the phase can be obtained with a pulse repetition rate sufficiently faster than that of the vibration. In recent years, this has been widely applied to non-contact vital sign measurements [24,25] and structural health monitoring [26]. Because these applications focus on the motion of the vibration, FMCW systems are widely used with millimeter wave bands which have wavelengths similar to the vibration displacement [24,25].…”

Section: Principle Of the Vibro-doppler Radar Methodsmentioning

confidence: 99%

Non-Destructive and Quantitative Evaluation of Rebar Corrosion by a Vibro-Doppler Radar Method

Miwa

2021

Sensors

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It is well known that evaluation of rebar corrosion is important for the maintenance of reinforced concrete structures, but, it is difficult to simply, quickly and quantitatively evaluate the amount of corrosion of rebars embedded in concrete by conventional non-destructive evaluation (NDE) methods such as electrical, electromagnetic and mechanical method. This paper proposes a vibro-Doppler radar (VDR) measurement method to quantitatively evaluate rebar corrosion by measuring the vibration ability of the rebar forcibly vibrated in concrete by an excitation coil. It is experimentally demonstrated in RC test pieces that the rebar vibration displacement obtained by developed VDR method is valid and is less affected by the moisture in the concrete. In addition, simultaneous monitoring of the rebar vibration displacement of the test pieces is performed through an electrolytic corrosion test and the measured vibration displacement is compared to the rebar corrosion loss evaluated. As the results, it is cleared that the rebar vibration displacement starts to increase from slightly before the occurrences of corrosion crack on the concrete surface as the corrosion loss increases. It is also shown that the rebar vibration displacement becomes 4 times higher than that in initial condition at the rebar corrosion loss of 250 mg/cm2. This implies that the VDR has potential to nondestructively and quantitatively evaluate rebar corrosion in concrete.

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Section: Principle Of the Vibro-doppler Radar Methodsmentioning

confidence: 99%

Non-Destructive and Quantitative Evaluation of Rebar Corrosion by a Vibro-Doppler Radar Method

Miwa

2021

Sensors

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“…Capturing information helps to (i) understand and thus model the environment (in real-time) for a successful accomplishment of the mission, (ii) reusing the same information for settling decision-making processes for intervention teams (Apvrille et al, 2017;Tanzi et al, 2016). Data are produced by a set of heterogeneous sensors deployed for real-time collection: distance values are computed through ultrasonic, micro-waves and LIDAR sensors, location and attitude values are obtained through Inertial Measurement Units (IMUs), control data by odometers (Thrun et al, 2005), etc. The usage of Radar for Ground Penetration (GPR) enables new sensing such as detection of victims buried after an earthquake (Chandra and Tanzi, 2015;Li et.al., 2005;Tanzi, 2018, 2017) thus increasing the probability to locate survivors.…”

Section: Usage Of Autonomous Systemsmentioning

confidence: 99%

“…Sensors are noisy components and we must consider the noise in order to enhance the realism of the simulation. Currently it is possible to model the inferences which affect them through a Gaussian distribution with a moment parametrization (i.e., providing mean and standard deviation of the distribution) (Thrun et al, 2005). According to ArcTurius mission, we can assume to work within 10-distance meters.…”

Section: Modelling Of Sensorsmentioning

confidence: 99%

Towards 3D Simulation for Disaster Intervention Robot Behaviour Assessment

Bertolino¹,

Tanzi²

2020

Adv. Radio Sci.

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Abstract. When a disaster strikes, response teams can nowadays rely on recent advances in technology. This approach improves the definition of a disaster management strategy. The use of autonomous systems during rescue operations allows, for example, to reach places that may be inaccessible or dangerous to human rescuers. In this context, both the design and the configuration of an autonomous system, including its embedded instruments (e.g. sensors), play a very important role in the overall outcome of the rescue mission. An incorrect configuration can lead to the acquisition of inaccurate or erroneous data and may result in incorrect information provided to rescuers. How can we ensure that the configuration of the autonomous systems is correct for a target mission? We propose to validate this configuration by testing the behaviour of the autonomous systems and their equipment in a virtual environment. To do this, system, sensors, space environment (geometry, etc.), prevailing conditions at the intervention site (weather, etc.) and mission scenario must be modelled in a 3D simulation system. The results of these simulations allow to apply in real time the modifications required to better adapt the configuration to the objectives of the mission. These simulations must be performed prior to the deployment of rescue teams to speed the development of a rescue management strategy. In this contribution, we propose a protocol to enhance an existing simulation environment to make it adapt to support disaster management. Then, we validate it through a case study in which we show the approach to correctly configure a LIDAR for a realistic mission. Such simulations allowed us to quantitatively configure the parameters of the LIDAR mounted on an existing disaster management rover, in order to keep the energy consumption limited while guaranteeing a correct functioning of the system. Resuming, the expected results are: (i) the assessment of the suitability of system for the mission, (ii) the choice of the quantitative features which characterize such equipment, (iii) the expectation of mission success and (iv) the probability which the system survives and completes the mission.

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“…A wide range of frequencies has been tested for cardiopulmonary monitoring. This covers from frequency of 1 GHz to 100 GHz) [13]- [16]. However, among the many carrier frequencies, the ISM band frequencies with center frequency -2.4 GHz, 5.8 GHz, and 24 GHz are the most investigated ones because of the vast availability of radar modules and microwave components at relatively low-cost.…”

Section: Principle Of Radar For Physiological Signs Sensingmentioning

confidence: 99%

Opportunities and Challenges for Radar Sensing For Pandemics: COVID-19

Shariff¹,

Rahim²,

Hussin³

et al. 2020

IJETER

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Non-contact sensing using radar technologies is a prospective technology in combating pandemic diseases such as the COVID-19. Current literature shows the capability of radar for cardiopulmonary signs detection and for securing social distancing, i.e. to count the number of people in a confined place. Nonetheless, the ability of radar ating frequency, and environments. Besides the different radar approaches and signal processing for reliable sensing, many new challenges for practical applications arise. In this paper, we review the state-of-the-art related applications and challenges of radar for combating the pandemic disease. Additionally, as a departure from the conventional approach, radar technique requires some basic explanation. This paper also provides an overview of radar sensing including its physical sensing basis.

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Review-Microwave Radar Sensing Systems for Search and Rescue Purposes

Cited by 58 publications

References 109 publications

Non-Destructive and Quantitative Evaluation of Rebar Corrosion by a Vibro-Doppler Radar Method

Non-Destructive and Quantitative Evaluation of Rebar Corrosion by a Vibro-Doppler Radar Method

Towards 3D Simulation for Disaster Intervention Robot Behaviour Assessment

Opportunities and Challenges for Radar Sensing For Pandemics: COVID-19

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