Analysis of micro-Doppler signatures for vital sign detection using UWB impulse Doppler radar

Ren, Lingyun; Tran, Nghia; Wang, Haofei; Fathy, Aly E.; Kıłıc, Özlem

doi:10.1109/biowireless.2016.7445550

Cited by 8 publications

(3 citation statements)

References 8 publications

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“…Micro-motions resulting from heartbeat and breathing have distinctive micro-Doppler signatures, which can be used for vital sign detection of humans [119][120][121][122][123]. Figure 12 shows the micro-Doppler signature for respiration of a walking human obtained using an ultra wideband radar [124].…”

Section: Vital Sign Detectionmentioning

confidence: 99%

Micro-Doppler Based Target Recognition With Radars: A Review

et al. 2022

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With the deployment of radar in versatile scenarios and a wide variety of potential targets, demand for automatic classification of various targets is increasing. The wide variety of radar signatures from physically smaller targets due to lower velocity / radar cross-section thresholds and the increased deployment of radar-based sensors do crowd the radar screen with misinterpreted targets. Micro-Doppler signatures have been widely employed by researchers for the recognition of those targets that exhibit micro-motions. This review article presents the evolution and recent advances in radar micro-Doppler based signature analysis and feature extraction. A review of the micro-Doppler-based target classification techniques along with their applications in defense and commercial sectors, has

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Section: Vital Sign Detectionmentioning

confidence: 99%

Micro-Doppler Based Target Recognition With Radars: A Review

et al. 2022

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“…UWB radar, a technology utilising short electromagnetic wave pulses, has gained attention in voice measurement and analysis [6]. It measures the distance and velocity of objects with high precision, capturing the micro-Doppler components of voice signals caused by the vocal cord and body movements during speech [7]. This forms the basis of an individual's voice signature, useful for identification.…”

Section: Introductionmentioning

confidence: 99%

Speaker identification using Ultra‐Wideband measurement of voice

Li,

Tang,

Vishwakarma

et al. 2023

IET Radar Sonar & Navi

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Voice identification is being increasingly adopted in various domains, including security infrastructures, intelligent home systems, and personalised digital assistants. Notably, it harbours significant promise in transforming healthcare, especially in electronic health record detecting and speech impairment monitoring such as aphasia. Current strategies such as acoustic models based on deep learning, voice bio‐metrics, and spectrogram analysis, have been identified with several drawbacks including vulnerability to altered voices, susceptibility to ambient noise, and the necessity for significant computational power. In response to these issues, the authors introduce a ground‐breaking method of voice identification using Ultra‐Wideband (UWB) technology. This method capitalises on the micro‐Doppler shifts associated with movements of the laryngeal prominence. The distinctive nature of these bio‐metric traits related to speech production provides superior resistance against common pitfalls of voice identification. The proposed model leverages the high‐resolution characteristics of UWB to register tiny variations in laryngeal movements produced during speech, thus forming a distinct voice profile for each speaker. Through rigorous testing, the proposed system demonstrated significant progress in voice identification, achieving close to 90% accuracy in controlled experimental settings. This breakthrough indicates that UWB‐enabled voice identification could have a profound effect on medical applications, providing potential improvements in diagnosing, monitoring, possibly treating speech disorders, and thereby shaping a future of enhanced and secured healthcare services.

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“…as vital signs monitoring and human activity detection [11], [12]. With substantial increase in the use of UAV for variety of applications, intrusion of UAV into no flight zone is a cause of concern.…”

Section: Introductionmentioning

confidence: 99%

Extraction and Analysis of Micro-Doppler Signature in FMCW Radar

Peter

Reddy

2021

2021 IEEE Radar Conference (RadarConf21)

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Micro-Doppler signature is a potent feature that has been used for target identification and micro-motion parameter estimation. The extraction of high frequency micro-Doppler signature from frequency modulated continuous wave (FMCW) radar along with the target range and velocity is the problem considered in this article. The severe aliasing of the high micro-Doppler frequency spread is circumvented by the fast time processing in the proposed method. The use of range-Doppler (RD) filtering and empirical mode decomposition (EMD) enables effective out-of-band and in-band noise suppression. Simulation studies and experimental results present the effectiveness of the proposed approach.

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Analysis of micro-Doppler signatures for vital sign detection using UWB impulse Doppler radar

Cited by 8 publications

References 8 publications

Micro-Doppler Based Target Recognition With Radars: A Review

Micro-Doppler Based Target Recognition With Radars: A Review

Speaker identification using Ultra‐Wideband measurement of voice

Extraction and Analysis of Micro-Doppler Signature in FMCW Radar

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