An Impulse Radio Ultrawideband System for Contactless Noninvasive Respiratory Monitoring

Nijsure, Yogesh; Tay, Wee Peng; Gunawan, E.; Wen, Fuxi; Zhang, Yang; Guan, Yong Liang; Chua, Ai-Ping

doi:10.1109/tbme.2012.2237401

Cited by 64 publications

(38 citation statements)

References 25 publications

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“…Yogesh Nijsure et. al [6] used a template subtraction method to reduce the scattering of the cluttered environment which requires storing of a template signal in the absence of any human being. In [7] adaptive background subtraction method based on least mean square (LMS) algorithm was applied.…”

Section: Background Knowledgementioning

confidence: 99%

Study of human being detection in an indoor environment using ultra wideband radar

Khausru

Ghavami

2014

2014 IEEE International Conference on Ultra-WideBand (ICUWB)

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Abstract-This paper describes a method of human being detection that involves eigenvalue estimation and analysis. This is a tag-free live human body detection method that looks for small changes in the reflected Ultra Wideband (UWB) signals in an indoor environment. As chest movement of the human body leaves a distinguishable effect on the reflected UWB signal hence it is an observable and detectable phenomenon that has been targeted. This experimental study also incorporates detection of the target behind the wall.

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Section: Background Knowledgementioning

confidence: 99%

Study of human being detection in an indoor environment using ultra wideband radar

Khausru

Ghavami

2014

2014 IEEE International Conference on Ultra-WideBand (ICUWB)

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“…In recent years, remote sensing of human targets with ultra-wideband (UWB) radar has attracted increasing attention [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17]. Since electromagnetic waves transmitted by UWB radar can penetrate through obstacles, such as clothes, walls, building ruins, etc., this technology can be applied in many areas, like medicine, public security, emergence rescue, and so on [1][2][3][4].…”

Section: Introductionmentioning

confidence: 99%

Improved Detection of Human Respiration Using Data Fusion Basedon a Multistatic UWB Radar

Yang

et al. 2016

Remote Sensing

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This paper investigated the feasibility for improved detection of human respiration using data fusion based on a multistatic ultra-wideband (UWB) radar. UWB-radar-based respiration detection is an emerging technology that has great promise in practice. It can be applied to remotely sense the presence of a human target for through-wall surveillance, post-earthquake search and rescue, etc. In these applications, a human target's position and posture are not known a priori. Uncertainty of the two factors results in a body orientation issue of UWB radar, namely the human target's thorax is not always facing the radar. Thus, the radial component of the thorax motion due to respiration decreases and the respiratory motion response contained in UWB radar echoes is too weak to be detected. To cope with the issue, this paper used multisensory information provided by the multistatic UWB radar, which took the form of impulse radios and comprised one transmitting and four separated receiving antennas. An adaptive Kalman filtering algorithm was then designed to fuse the UWB echo data from all the receiving channels to detect the respiratory-motion response contained in those data. In the experiment, a volunteer's respiration was correctly detected when he curled upon a camp bed behind a brick wall. Under the same scenario, the volunteer's respiration was detected based on the radar's single transmitting-receiving channels without data fusion using conventional algorithm, such as adaptive line enhancer and single-channel Kalman filtering. Moreover, performance of the data fusion algorithm was experimentally investigated with different channel combinations and antenna deployments. The experimental results show that the body orientation issue for human respiration detection via UWB radar can be dealt well with the multistatic UWB radar and the Kalman-filter-based data fusion, which can be applied to improve performance of UWB radar in real applications.

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“…Our objective is to determine the sudden change points within the estimated trajectories of the surrounding UAV targets and to quickly identify the the imminent collisions, so that the guidance and navigation unit can make coarse correction to its own trajectory. Details on the CP algorithm based on perfect simulation approach can be found in works like [26]- [28].…”

Section: Introductionmentioning

confidence: 99%

Cognitive Chaotic UWB-MIMO Detect-Avoid Radar for Autonomous UAV Navigation

Nijsure

Kaddoum

Mallat

et al. 2016

IEEE Trans. Intell. Transport. Syst.

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Abstract-A cognitive detect and avoid radar system based on chaotic UWB-MIMO waveform design to enable autonomous UAV navigation is presented. A Dirichlet-Process-Mixture-Model (DPMM) based Bayesian clustering approach to discriminate extended targets and a Change-Point (CP) detection algorithm are applied for the autonomous tracking and identification of potential collision threats. A DPMM based clustering mechanism does not rely upon any a priori target scene assumptions and facilitates online multivariate data clustering/classification for an arbitrary number of targets. Furthermore, this radar system utilizes a cognitive mechanism to select efficient c haotic waveforms to facilitate enhanced target detection and discrimination. We formulate the CP mechanism for the online tracking of target trajectories which present a collision threat to the UAV navigation and thus we supplement the conventional Kalman filter based tracking. Simulation results demonstrate a significant performance improvement for the DPMM-CP assisted detection as compared with direct generalized likelihood ratio based detection. Specifically, w e o bserve a 4 d B p erformance g ain i n target detection over conventional fixed U WB w aveforms a nd superior collision avoidance capability offered by the joint DPMM-CP mechanism.

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An Impulse Radio Ultrawideband System for Contactless Noninvasive Respiratory Monitoring

Cited by 64 publications

References 25 publications

Study of human being detection in an indoor environment using ultra wideband radar

Study of human being detection in an indoor environment using ultra wideband radar

Improved Detection of Human Respiration Using Data Fusion Basedon a Multistatic UWB Radar

Cognitive Chaotic UWB-MIMO Detect-Avoid Radar for Autonomous UAV Navigation

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