1. IR-UWB Pulse Generation Using FPGA Scheme for through Obstacle Human Detection
- Author
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Lalida Tantiparimongkol and Pattarapong Phasukkit
- Subjects
Computer science ,0211 other engineering and technologies ,doppler frequency ,delay-line ,respiratory rate ,02 engineering and technology ,lcsh:Chemical technology ,Biochemistry ,range estimation ,Article ,Analytical Chemistry ,Disasters ,Earthquakes ,Rescue Work ,0202 electrical engineering, electronic engineering, information engineering ,human through-obstacle detection ,Humans ,lcsh:TP1-1185 ,Electrical and Electronic Engineering ,Field-programmable gate array ,Instrumentation ,FPGA ,021101 geological & geomatics engineering ,Radar ,Pulse (signal processing) ,business.industry ,Respiration ,IR-UWB radar ,Bandwidth (signal processing) ,Pulse duration ,Signal Processing, Computer-Assisted ,020206 networking & telecommunications ,Digital clock manager ,Atomic and Molecular Physics, and Optics ,Fractional bandwidth ,Obstacle ,business ,Computer hardware - Abstract
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&ndash, 2.19 GHz) bandwidth, thereby rendering the technology suitable for a wide range of applications, in addition to through-obstacle detection.
- Published
- 2020
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