Adaptive Clutter Suppression Algorithm for Detection and Positioning using IR-UWB Radar

Yoo, Sung-Won; Chung, Sung-Chong; Seol, Dong-Min; Cho, Sung Ho

doi:10.1109/uwbusis.2018.8520164

Cited by 15 publications

(6 citation statements)

References 7 publications

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“…The breathing man's time-varying differential range-profiles are then sequentially shown to create a 2D diagram, as seen in Figure 5(a). For all time instants in the snapshot, changes across the 30 cm range distance can be easily identified [24], [25].…”

Section: Resultsmentioning

confidence: 99%

Experimental study of through the wall imaging for the detection of vital life signs using SFWR

Pardhu

Kumar

2021

IJEECS

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<p>Now a day’s defence applications associated to novel, army and military war fields are required wall imaging discrimination. As of now many wallimaging techniques are designed but didn’t identify the vital signs behind walls with accurate working. Therefore, a novel advance wall image tracking method is required identification of human target. An experimental study on through the wallimaging (TWI) to detect the life signs using sweep frequency continuous wave radar (SFCWR) is explained in this paper. The proposed system consists of agilent vector network analyzer (VNA) (Agilent E5071B ENA), horn antenna and a computer. The information of heart beat and the breathing can be a shift identification routine was used to collect information from the back scattering electric current. The outcomes of the procedure give the information of heart beat and breathing signs of real human being.</p>

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Section: Resultsmentioning

confidence: 99%

Experimental study of through the wall imaging for the detection of vital life signs using SFWR

Pardhu

Kumar

2021

IJEECS

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“…The clutter removal stage is based on the adaptive clutter suppression method proposed in [38], which achieves higher signal-to-clutter ratios when compared to conventional emptyroom or background subtraction algorithms. This approach utilises an adaptive exponential moving average (EMA) filter to construct the stationary clutter map (C) that is then subtracted from the received data (P ) to produce cluttersuppressed data (R).…”

Section: B Radar Signal Pre-processingmentioning

confidence: 99%

Remote Gait Analysis Using Ultra-Wideband Radar Technology Based on Joint Range-Doppler-Time Representation

Hadjipanayi,

Yin,

Bannon

et al. 2024

IEEE Trans. Biomed. Eng.

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Objective: In recent years, radar technology has been extensively utilised in contactless human behaviour monitoring systems. The unique capabilities of ultra-wideband (UWB) radars compared to conventional radar technologies, due to time-of-flight measurements, present new untapped opportunities for in-depth monitoring of human movement during overground locomotion. This study aims to investigate the deployability of UWB radars in accurately capturing the gait patterns of healthy individuals with no known walking impairments. Methods: A novel algorithm was developed that can extract ten clinical spatio-temporal gait features using the Doppler information captured from three monostatic UWB radar sensors during a 6-meter walking task. Key gait events are detected from lower-extremity movements based on the joint range-Doppler-time representation of recorded radar data. The estimated gait parameters were validated against gold standard optical motion tracking system using 12 healthy volunteers. Results: On average, nine gait parameters can be consistently estimated with 90-98% accuracy, while capturing 94.5% of participant's gait variability and 90.8% of inter-limb symmetry. Correlation and Bland-Altman analysis reveal a strong correlation between radar-based parameters and the ground-truth values, with average discrepancies consistently close to 0. Conclusion: Results prove that radar sensing can provide accurate biomarkers to supplement clinical human gait assessment, with quality similar to gold standard assessment. Significance: Radars can potentially allow a transition from expensive and cumbersome lab-based gait analysis tools toward a completely unobtrusive and affordable solution for in-home deployment, enabling continuous long-term monitoring of individuals for research and healthcare applications.

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“…Prosperity watching wraps different activities to be explicit clinical examination, screening tests, symptomatic tests, remedial tests, and individual tests. Picture based tests have quite recently landed at the believability of perceiving molecules in a laboratorial circumstance [2] anyway no one will be surprised if later on sicknesses can be recognized, recognized and immaculately depicted reliant on picture based normal equipment. In the meantime, picture gear reliant on the Doppler Effect using ultrasound have been helping prosperity experts in prosperity watching, either in definite yet also for supporting endless human administrations organizations.…”

Section: Related Workmentioning

confidence: 99%

“…Sungwon Yoo et al [2], have given clutter suppression method useful for IR-UWB radar. The adaptive distance based clutter suppression uses Hilbert transform to detect the envelop signal.…”

Section: Related Workmentioning

confidence: 99%

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Simplistic Simulation for Radar Based Life Signal Detection

Deshmukh*,

Godbole,

Yadahalli

2020

IJITEE

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The radar clutter removal and life signal detection is required when natural or manmade calamities occur and there is need to detect the presence of trapped humans trapped in fallen buildings. This paper contributes in simple experimentation strategy which involves clutter removal and life signal detection starting from radar pulses transmitting and receiving simulation. The simulation is carried out and simple processing aspect is given for analyzing and finalizing the requirements of radar experimentation by considering existing techniques available in the field.

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Adaptive Clutter Suppression Algorithm for Detection and Positioning using IR-UWB Radar

Cited by 15 publications

References 7 publications

Experimental study of through the wall imaging for the detection of vital life signs using SFWR

Experimental study of through the wall imaging for the detection of vital life signs using SFWR

Remote Gait Analysis Using Ultra-Wideband Radar Technology Based on Joint Range-Doppler-Time Representation

Simplistic Simulation for Radar Based Life Signal Detection

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