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Item type:Item, IR-UWB pulse generation using FPGA scheme for through obstacle human detection(2020-07-01) ;Tantiparimongkol, LalidaPhasukkit, PattarapongThis 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. - Some of the metrics are blocked by yourconsent settings
Item type:Item, UWB Radar for Multiple Human Detection Through the Wall Based on Doppler Frequency and Variance Statistic(2019-11-01) ;Rittiplang, ArtitPhasukkit, PattarapongMultiple human detection through the wall has become an interesting topic for security, rescue, life detecting under earthquake rubble, etc. This paper presents a UWB radar at 3 GHz for detecting multiple humans through the wall based on Doppler frequency and variance statistic of the respiratory signal. Technically, we have referred to efficiently simple methods are FFT and variance statistic for identifying the respiratory frequency of multiple persons quickly. Experimental results show the methods can identify and evaluate quickly respiratory frequencies of two persons through the wood wall. - Some of the metrics are blocked by yourconsent settings
Item type:Item, IR-UWB generate by FPGA for Non-contact Respiration Measurements(2019-11-01) ;Buasombat, Panupong ;Pungpa, NonthakornPhasukkit, PattarapongRespiration rate detections and measurement has a benefit for elementary symptom in medical application. In present, most of respiration examination in medical field still needs to contact electrode with skin which is main still problem for some patient. Patients who got problem with skin like dermatitis or unable for contact case cause the problem for respiration rate detection. So, this research intends to design non-contact respiration measurement system for resolve this problem. The research applies impulse radio function with ultra-wideband wave (UWB) generate by field programmable gate array (FPGA) for detect respiration rate. In the experiment, we have designed the signal processing algorithm for respiration rate measurement by Fast-Fourier Transform (FFT) of doppler frequency from UWB detection. Result has compared respiration rate measurement between non-contact respiration rate by designed algorithm and standard contact respiration monitoring belt. - Some of the metrics are blocked by yourconsent settings
Item type:Item, Designing of uwb pulse generation in fpga based on delay line method for human range through the wall detecting application(2019-07-01) ;Tantiparimongkol, LalidaPhasukkit, PattarapongThis paper intends to present UWB generation by FPGA for further using in human detecting through the wall. In this experiment, we use method of digital circuit synthesize by Verilog coding into FPGA. Which coding method is the implementation of Delay line based theory. This experiment could produce pulse with pulse width 575ps and bandwidth of 3.83GHz. The purpose is applied for radar through the wall for human range detection application. There're experiment with human detection system which locate human movement from Doppler frequency and standard deviation. The experiment is shown at range of detection at 1m, 1.5m and 2m which the result shows output pulse from FPGA could detect human at these ranges.
