scholarly journals Multi-Human Detection Algorithm Based on an Impulse Radio Ultra-Wideband Radar System

IEEE Access ◽  
2016 ◽  
Vol 4 ◽  
pp. 10300-10309 ◽  
Author(s):  
Jeong Woo Choi ◽  
Sung Sik Nam ◽  
Sung Ho Cho
2019 ◽  
Vol 64 ◽  
pp. S188
Author(s):  
S. Kang ◽  
D.-K. Kim ◽  
Y. Lee ◽  
Y.-H. Lim ◽  
J. Choi ◽  
...  

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Sun Kang ◽  
Dong-Kyu Kim ◽  
Yonggu Lee ◽  
Young-Hyo Lim ◽  
Hyun-Kyung Park ◽  
...  

2013 ◽  
Vol 61 (5) ◽  
pp. 2069-2075 ◽  
Author(s):  
Kevin Khee-Meng Chan ◽  
Adrian Eng-Choon Tan ◽  
Karumudi Rambabu

2019 ◽  
Vol 24 (3) ◽  
pp. 841-848 ◽  
Author(s):  
Sun Kang ◽  
Yonggu Lee ◽  
Young-Hyo Lim ◽  
Hyun-Kyung Park ◽  
Sung Ho Cho ◽  
...  

Author(s):  
Alexander Kaineder ◽  
Oliver Lang ◽  
Reinhard Feger ◽  
Paul Dollhaubl ◽  
Andreas Stelzer ◽  
...  

Sensors ◽  
2020 ◽  
Vol 20 (13) ◽  
pp. 3750 ◽  
Author(s):  
Lalida Tantiparimongkol ◽  
Pattarapong Phasukkit

This research proposes a scheme of field programmable gate array (FPGA) to generate an impulse-radio ultra-wideband (IR-UWB) pulse. The FPGA scheme consists of three parts: digital clock manager, four-delay-paths stratagem, and edge combiner. The IR-UWB radar system is designed to detect human subjects from their respiration underneath the rubble in the aftermath of an earthquake and to locate the human subjects based on range estimation. The proposed IR-UWB radar system is experimented with human subjects lying underneath layers of stacked clay bricks in supine and prone position. The results reveal that the IR-UWB radar system achieves a pulse duration of 540 ps with a bandwidth of 2.073 GHz (fractional bandwidth of 1.797). In addition, the IR-UWB technology can detect human subjects underneath the rubble from respiration and identify the location of human subjects by range estimation. The novelty of this research lies in the use of the FPGA scheme to achieve an IR-UWB pulse with a 2.073 GHz (117 MHz–2.19 GHz) bandwidth, thereby rendering the technology suitable for a wide range of applications, in addition to through-obstacle detection.


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