Experimental Study of Wireless Monitoring of Human Respiratory Movements Using UWB Impulse Radar Systems

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dc.contributor.authorLiang, Xiaolin
dc.contributor.authorWang, Yuankai
dc.contributor.authorWu, Shiyou
dc.contributor.authorGulliver, Thomas Aaron
dc.date.accessioned2020-10-19T22:19:08Z
dc.date.available2020-10-19T22:19:08Z
dc.date.copyright2018en_US
dc.date.issued2018
dc.description.abstractThis paper analyzes and discusses the capability of human being detection using impulse ultra-wideband (UWB) radar with an improved detection algorithm. The multiple automatic gain control (AGC) technique is employed to enhance the amplitudes of human respiratory signals. Two filters with seven values averaged are used to further improve the signal-to-noise ratio (SNR) of the human respiratory signals. The maximum slope and standard deviation are used for analyzing the characteristics of the received pulses, which can provide two distance estimates for human being detection. Most importantly, based on the two distance estimates, we can accurately judge whether there are human beings in the detection environments or not. The data size can be reduced based on the defined interested region, which can improve the operation efficiency of the radar system for human being detection. The developed algorithm provides excellent performance regarding human being detection, which is validated through comparison with several well-known algorithms.en_US
dc.description.reviewstatusRevieweden_US
dc.description.scholarlevelFacultyen_US
dc.description.sponsorshipThis work was funded by the Science and Technology on Electronic Test & Measurement Laboratory (9140C120102150C12055 and 6142001010101), the Nature Science Foundation of China (41527901, 61501424 and 61701462), the Ao Shan Science and Technology Innovation Project of Qingdao National Laboratory for Marine Science and Technology (2017ASKJ01), the Beijing Municipal Natural Science Foundation (4172066), and the National Key R&D Program of China (2017YFF0107703).en_US
dc.identifier.citationLiang, X., Wang, Y., Wu, S., & Gulliver, T. A. (2018). Experimental Study of Wireless Monitoring of Human Respiratory Movements Using UWB Impulse Radar Systems. Sensors. 18(9), 1-18. https://doi.org/10.3390/s18093065.en_US
dc.identifier.urihttps://doi.org/10.3390/s18093065
dc.identifier.urihttp://hdl.handle.net/1828/12219
dc.language.isoenen_US
dc.publisherSensorsen_US
dc.subjectimpulse ultra-wide band (UWB) radaren_US
dc.subjectautomatic gain control (AGC)en_US
dc.subjectinterested regionen_US
dc.subjecthuman respiratory signalsen_US
dc.subjectinterested regionen_US
dc.titleExperimental Study of Wireless Monitoring of Human Respiratory Movements Using UWB Impulse Radar Systemsen_US
dc.typeArticleen_US

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