scholarly journals Ultra-Wideband Radar-Based Indoor Activity Monitoring for Elderly Care

Sensors ◽  
2021 ◽  
Vol 21 (9) ◽  
pp. 3158
Author(s):  
Matti Hämäläinen ◽  
Lorenzo Mucchi ◽  
Stefano Caputo ◽  
Lorenzo Biotti ◽  
Lorenzo Ciani ◽  
...  
Keyword(s):  
Elderly Care ◽  
Radar Data ◽  
Ultra Wideband ◽  
Network Architectures ◽  
Radar Network ◽  
Uwb Radar ◽  
Received Power ◽  
Learning Technique ◽  
Health Related ◽  
Wideband Radar

In this paper, we propose an unobtrusive method and architecture for monitoring a person’s presence and collecting his/her health-related parameters simultaneously in a home environment. The system is based on using a single ultra-wideband (UWB) impulse-radar as a sensing device. Using UWB radars, we aim to recognize a person and some preselected movements without camera-type monitoring. Via the experimental work, we have also demonstrated that, by using a UWB signal, it is possible to detect small chest movements remotely to recognize coughing, for example. In addition, based on statistical data analysis, a person’s posture in a room can be recognized in a steady situation. In addition, we implemented a machine learning technique (k-nearest neighbour) to automatically classify a static posture using UWB radar data. Skewness, kurtosis and received power are used in posture classification during the postprocessing. The classification accuracy achieved is more than 99%. In this paper, we also present reliability and fault tolerance analyses for three kinds of UWB radar network architectures to point out the weakest item in the installation. This information is highly important in the system’s implementation.

Micro-Doppler processing for ultra-wideband radar data

2012 ◽  
Author(s):  
Graeme E. Smith ◽  
Fauzia Ahmad ◽  
Moeness G. Amin
Keyword(s):  
Radar Data ◽  
Ultra Wideband ◽  
Wideband Radar

scholarly journals Automatic target detection and localization using ultra-wideband radar

2022 ◽  
Vol 12 (2) ◽  
pp. 1695
Author(s):  
Dounia Daghouj ◽  
Marwa Abdellaoui ◽  
Mohammed Fattah ◽  
Said Mazer ◽  
Youness Balboul ◽  
...  
Keyword(s):  
Wide Band ◽  
Ultra Wideband ◽  
Correlation Peak ◽  
Distant Object ◽  
Automatic Target Detection ◽  
Broadband Emission ◽  
Uwb Radar ◽  
Wideband Radar ◽  
Detection And Localization

<span>The pulse ultra-wide band (UWB) radar consists of switching of energy of very short duration in an ultra-broadband emission chain, and the UWB signal emitted is an ultrashort pulse, of the order of nanoseconds, without a carrier. These systems can indicate the presence and distances of a distant object, call a target, and determine its size, shape, speed, and trajectory. In this paper, we present a UWB radar system allowing the detection of the presence of a target and its localization in a road environment based on the principle of correlation of the reflected signal with the reference and the determination of its correlation peak.</span>

Cardiac Signal Detection Based on Ultra-Wideband Radar System

2011 ◽  
Vol 48-49 ◽  
pp. 288-288
Keyword(s):  
Signal Detection ◽  
Radar Data ◽  
Radar System ◽  
Ultra Wideband ◽  
Wideband Radar

Paper has been removed due to plagiarism. The original paper was published as a conference article by PTB in July 2010: Proceedings of Biosignals 2010, July 14-16, Berlin, German Paper title: Discrimination of reparative and cardiac displacements from ultra-wideband radar data By O. Kosch et. Al.

scholarly journals Airborne ultra-wideband radar sounding over the shear margins and along flow lines at the onset region of the Northeast Greenland Ice Stream

2021 ◽  
Author(s):  
Steven Franke ◽  
Daniela Jansen ◽  
Tobias Binder ◽  
John D. Paden ◽  
Nils Dörr ◽  
...  
Keyword(s):  
High Resolution ◽  
Ice Core ◽  
Radar Data ◽  
Ultra Wideband ◽  
Flow Lines ◽  
Data Set ◽  
Ice Surface ◽  
Ice Stream ◽  
Spatial Coverage ◽  
Wideband Radar

Abstract. We present a high-resolution airborne radar data set (EGRIP-NOR-2018) for the onset region of the Northeast Greenland Ice Stream (NEGIS). The radar data were acquired in May 2018 with Alfred Wegener Institute’s multichannel ultra-wideband (UWB) radar mounted on the Polar6 aircraft. Radar profiles cover an area of ~24000 km2 and extend over the well-defined shear margins of the NEGIS. The survey area is centred at the location of the drill site of the East Greenland Ice-Core Project (EastGRIP) and several radar lines intersect at this location. The survey layout was designed to: (i) map the stratigraphic signature of the shear margins with radar profiles aligned perpendicular to ice flow, (ii) trace the radar stratigraphy along several flow lines and (iii) provide spatial coverage of ice thickness and basal properties. While we are able to resolve radar reflections in the deep stratigraphy, we can not fully resolve the steeply inclined reflections at the tightly folded shear margins in the lower part of the ice column. The NEGIS is causing the most significant discrepancies between numerically modelled and observed ice surface velocities. Given the high likelihood of future climate and ocean warming, this extensive data set of new high-resolution radar data in combination with the EastGRIP ice core will be a key contribution to understand the past and future dynamics of the NEGIS. The EGRIP-NOR-2018 radar data products can be obtained at the PANGAEA Data Publisher (https://doi.pangaea.de/10.1594/PANGAEA.928569; Franke et al. 2021a).

scholarly journals Safety Aspects of People Exposed to Ultra Wideband Radar Fields

2013 ◽  
Vol 2013 ◽  
pp. 1-7 ◽  
Author(s):  
Marta Cavagnaro ◽  
Stefano Pisa ◽  
Erika Pittella
Keyword(s):  
Ultra Wideband ◽  
Reference Levels ◽  
Uwb Antenna ◽  
3 Dimensional ◽  
Safety Aspects ◽  
Uwb Radar ◽  
Multilayered Body ◽  
Spatial Environment ◽  
Wideband Radar ◽  
Analytical Approaches

The safety aspects of people exposed to the field emitted by ultra wideband (UWB) radar, operating both in the spatial environment and on ground, for breath activity monitoring are analyzed. The basic restrictions and reference levels reported in the ICNIRP safety guideline are considered, and the compliance of electromagnetic fields radiated by a UWB radar with these limits is evaluated. First, simplified analytical approaches are used; then, both a 3-dimensional multilayered body model and an anatomical model of the head have been used to better evaluate the electromagnetic absorption when a UWB antenna is placed in front of the head. The obtained results show that if the field emitted by the UWB radar is compliant with spatial and/or ground emission masks, then both reference levels and basic restrictions are largely satisfied.

A super-resolution polarimetric wavefront extraction algorithm for UWB-radar under massive interference conditions

2015 ◽  
Vol 7 (5) ◽  
pp. 597-603 ◽  
Author(s):  
Dilyan Damyanov ◽  
Rahmi Salman ◽  
Thorsten Schultze ◽  
Ingolf Willms
Keyword(s):  
Correlation Method ◽  
Super Resolution ◽  
Matrix Decomposition ◽  
Radar Data ◽  
Ultra Wideband ◽  
Dynamic Correlation ◽  
Pulse Separation ◽  
Uwb Radar ◽  
Extraction Algorithm ◽  
Experimental Validations

To provide short-range super-resolution ultra-wideband (UWB) radar under multi-scattering conditions, a superior wavefront extraction algorithm is proposed in this paper. Conventional correlation-based pulse separation methods based on SAGE, CLEAN or the previously introduced superior dynamic correlation method (DCM) are revised, validated, and compared. In this paper, the DCM is improved significantly by applying the Pauli scattering matrix decomposition onto the radar data. This novel wavefront extraction algorithm is called polarimetric dynamic correlation method (PDCM) and is suitable to resolve several overlapping pulses, which consist of both strong echoes and weak echoes which are masked by the strong ones. The performance of the PDCM and the comparison with alternative algorithms is carried out by a subsequent feature extraction algorithm for visual verification. Experimental validations are performed with two complex test objects, a maximum length sequence radar device (4.5–13.5 GHz) and compact dual-polarized UWB antennas.

scholarly journals Applications of TVF-EMD in Vital Signal Detection for UWB Radar

2021 ◽  
Vol 2021 ◽  
pp. 1-18
Author(s):  
Zhen Yang ◽  
Chi Ma ◽  
Qingjie Qi ◽  
Xin Li ◽  
Yan Li
Keyword(s):  
Vital Signs ◽  
Measured Data ◽  
Ultra Wideband ◽  
Continuous Wavelet ◽  
Uwb Radar ◽  
Detection Technology ◽  
Sign Detection ◽  
Wideband Radar ◽  
Echo Radar ◽  
Emd Method

When using pulsed ultra-wideband radar (UWB) noncontact detection technology to detect vital signs, weak vital signs echo signals are often covered by various noises, making human targets unable to identify and locate. To solve this problem, a new method for vital sign detection is proposed which is based on impulse ultra-wideband (UWB) radar. The range is determined based on the continuous wavelet transform (CWT) of the variance of the received signals. In addition, the TVF-EMD method is used to obtain the information of respiration and heartbeat frequency. Fifteen sets of experiments were carried out, and the echo radar signals of 5 volunteers at 3 different distances were collected. The analysis results of the measured data showed that the proposed algorithm can accurately and effectively extract the distance to the target human and its vital signs information, which shows vast prospects in research and application.

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