Low-Complexity Joint Extrapolation-MUSIC-Based 2-D Parameter Estimator for Vital FMCW Radar

Kim, Sang‐Dong; Lee, Kyun-Kyung

doi:10.1109/jsen.2018.2877043

Cited by 41 publications

(38 citation statements)

References 30 publications

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“…The distance information of the subjects will be calculated from the fast-time signals in Part B. First we can use the moving target indicator (MTI) filter to remove background clutter from the original three-dimensional signal [40], [41]. Then we get the subject's location information by extracting the peak value.…”

Section: Experiments and Methodsmentioning

confidence: 99%

Harmonic Multiple Loop Detection (HMLD) Algorithm for Not-Contact Vital Sign Monitoring Based on Ultra-Wideband (UWB) Radar

Zhang

et al. 2020

IEEE Access

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In this paper, the harmonic multiple loop detection (HMLD) algorithm for heart rate (HR) and respiration rate (RR) estimation with impulse radio ultrawideband (IR-UWB) radar is introduced. The algorithm includes two parts: one is the harmonic multiple discriminant principle and the other is the cyclic spectrum updating process. The harmonic multiple discriminant principle is used to detect whether the peak point in the fundamental frequency band is the true vital sign signal. The cyclic spectrum updating process can remove the error peak point according to the results obtained from the part one. In this algorithm, threshold setting is not needed and the estimation error caused by the erroneous threshold can be reduced. Only the fundamental and second harmonic frequencies are needed for HR and RR estimation, so the algorithm has strong environmental robustness and low requirement of radar hardwares. Compared with other algorithms, HMLD algorithm provides reasonable average error rates (4.95% and 5.06%) compared to real data from the oximeter in RR and HR detection. The real-time vital signs detection experiment shows that HMLD algorithm can not only detect the vital signs rate and record the historical curve in real time, but also detect the location information, which proves the validity of HMLD algorithm in real-time vital signs detection. INDEX TERMS Harmonic multiple loop detection, biomedical signal processing, impulse radio ultrawideband (IR-UWB) radar, heart rate (HR), respiration rate (RR).

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Section: Experiments and Methodsmentioning

confidence: 99%

Harmonic Multiple Loop Detection (HMLD) Algorithm for Not-Contact Vital Sign Monitoring Based on Ultra-Wideband (UWB) Radar

Zhang

et al. 2020

IEEE Access

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“…The TX signal s TX (t) is transmitted from the TX antenna and reflected from humans. Then, s TX (t) is received at the k-th received (RX) antenna and the l-th chirp index, and it is denoted by s RX k,l (t) and expressed as [6]:…”

Section: System Modelmentioning

confidence: 99%

“…The TX signal

is transmitted from the TX antenna and reflected from humans. Then,

is received at the k -th received (RX) antenna and the l -th chirp index, and it is denoted by

and expressed as [ 6 ]:

where

and

are the amplitude and delay of the reflected signal by the m -th human, respectively, and

is the complex additive white Gaussian noise (AWGN). In Doppler terms,

denotes the heart rate of the m -th human, and

denotes the h -th harmonic element of the respiratory rate of the m -th human.…”

Section: System Models and Trade-off Between Fov And Resolutionmentioning

confidence: 99%

“…Radar systems are used in a variety of applications such as weather, military, the automotive industry, vital-sign monitoring, and surveillance [4]. Meanwhile, among various approaches using radar sensors, vital-sign applications have attracted much attention because of their non-contact merits [5][6][7].…”

Section: Introductionmentioning

confidence: 99%

“…In Reference [5], the authors discussed state-of-the-art techniques for vital-sign monitoring using an impulse radio ultrawide-band transceiver, and presented the contributions of different authors regarding the vital signs of a stationary human target. In Reference [6], in order to distinguish multiple targets, the authors employed high-resolution algorithms with low complexity. In Reference [8], Shekh M. M. Islam et al have proposed a hybrid method consisting of an signal to noise (SNR)-based intelligent decision algorithm for phase-comparison monopulse continuous wave (CW) radar in order to overcome the monitoring limits of multiple targets.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Low-Complexity MUSIC-Based Direction-of-Arrival Detection Algorithm for Frequency-Modulated Continuous-Wave Vital Radar

Kim

Jin

Lee

et al. 2020

Sensors

Self Cite

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This paper proposes a low complexity multiple-signal-classifier (MUSIC)-based direction-of-arrival (DOA) detection algorithm for frequency-modulated continuous-wave (FMCW) vital radars. In order to reduce redundant complexity, the proposed algorithm employs characteristics of distance between adjacent arrays having trade-offs between field of view (FOV) and resolution performance. First, the proposed algorithm performs coarse DOA estimation using fast Fourier transform. On the basis of the coarse DOA estimation, the number of channels as input of the MUSIC algorithm are selected. If the estimated DOA is smaller than 30°, it implies that there is an FOV margin. Therefore, the proposed algorithm employs only half of the channels, that is, it is the same as doubling the spacing between arrays. By doing so, the proposed algorithm achieves more than 40% complexity reduction compared to the conventional MUSIC algorithm while achieving similar performance. By experiments, it is shown that the proposed algorithm despite the low complexity is enable to distinguish the adjacent DOA in a practical environment.

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Improved distance protection for wind farm transmission line based on dynamic frequency estimation

Sheng

et al. 2023

International Journal of Electrical Power & Energy Systems

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Low-Complexity Joint Extrapolation-MUSIC-Based 2-D Parameter Estimator for Vital FMCW Radar

Cited by 41 publications

References 30 publications

Harmonic Multiple Loop Detection (HMLD) Algorithm for Not-Contact Vital Sign Monitoring Based on Ultra-Wideband (UWB) Radar

Harmonic Multiple Loop Detection (HMLD) Algorithm for Not-Contact Vital Sign Monitoring Based on Ultra-Wideband (UWB) Radar

Low-Complexity MUSIC-Based Direction-of-Arrival Detection Algorithm for Frequency-Modulated Continuous-Wave Vital Radar

Improved distance protection for wind farm transmission line based on dynamic frequency estimation

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