Application of Linear-Frequency-Modulated Continuous-Wave (LFMCW) Radars for Tracking of Vital Signs

Wang, Guochao; Muñoz‐Ferreras, José‐María; Gu, Changzhan; Li, Changzhi; Gómez‐García, Roberto

doi:10.1109/tmtt.2014.2320464

Cited by 255 publications

(103 citation statements)

References 28 publications

Supporting

Mentioning

103

Contrasting

Order By: Relevance

“…At present, linear frequency-modulated continuous-wave (LFMCW) signals [4,15], which feature high distance/high-speed resolution and provide accurate measurements and good anti-jamming and LPI characteristics, have been widely used in LPI radar and have found extensive applications in small-and microscale detection devices.…”

Section: Introductionmentioning

confidence: 99%

Adaptive Threshold Detection and Estimation of Linear Frequency-Modulated Continuous-Wave Signals Based on Periodic Fractional Fourier Transform

Zhu

Gao

et al. 2015

Circuits Syst Signal Process

View full text Add to dashboard Cite

The fractional Fourier transform (FRFT) has been used to detect and estimate the parameters of linear frequency-modulated continuous-wave (LFMCW) in low probability of intercept radar waveforms. The FRFT, which is optimal for single linear frequency-modulated (LFM) signals, becomes sub-optimal when applied to LFMCW signals because the observed waveform of this type of signal is composed of concatenated LFM pulses. A new signal processing method, called the periodic FRFT (PFRFT), is proposed for the detection of LFMCW signals. First, the discrete PFRFT is studied and the signal processing gain of this transform for LFMCW signals is analyzed. Second, an adaptive threshold detection and estimation algorithm for LFMCW signals is formulated after analysis of the test statistics of the squared modulus of LFMCW signals when using the probability density function in the presence of Gaussian white noise. It is then proved that PFRFT-based estimation is equivalent to Circuits Syst Signal Process maximum likelihood estimation in the detection and estimation of LFMCW signals. Finally, the results of both the theoretical analysis and verification simulations show that the PFRFT significantly outperforms the FRFT for LFMCW signals.

show abstract

Section: Introductionmentioning

confidence: 99%

Adaptive Threshold Detection and Estimation of Linear Frequency-Modulated Continuous-Wave Signals Based on Periodic Fractional Fourier Transform

Zhu

Gao

et al. 2015

Circuits Syst Signal Process

View full text Add to dashboard Cite

show abstract

“…In addition, the signals transmitted by microwave sensors can penetrate walls and obstacles, and Doppler characteristics reveal extra details of motion, and thus enable gesture recognition [4]. There are several main-stream radar architectures found in the literature, like single-tone continuous-wave (CW) radar, impulse-radio ultra-wideband (UWB) and frequency-modulated continuous-wave (FMCW).…”

Section: Introductionmentioning

confidence: 99%

“…There are several main-stream radar architectures found in the literature, like single-tone continuous-wave (CW) radar, impulse-radio ultra-wideband (UWB) and frequency-modulated continuous-wave (FMCW). Continuous-wave (CW) radar has lot of advantages: it immunes to stationary clutter interference [5] and it is robust because of its high precision displacement measurements [4], [6]. However, since the single-tone radar does not transmit an instantaneous bandwidth, it does not possess range resolution [7].…”

Section: Introductionmentioning

confidence: 99%

“…Continuous-wave (CW) radar has lot of advantages: it immunes to stationary clutter interference [5] and it is robust because of its high precision displacement measurements [4], [6]. However, since the single-tone radar does not transmit an instantaneous bandwidth, it does not possess range resolution [7]. On the other hand, range tracking of the ultra-wideband algorithm is not based on phase measurements that are very convenient to get phase variation of the signal [7].…”

Section: Introductionmentioning

confidence: 99%

“…However, since the single-tone radar does not transmit an instantaneous bandwidth, it does not possess range resolution [7]. On the other hand, range tracking of the ultra-wideband algorithm is not based on phase measurements that are very convenient to get phase variation of the signal [7]. FMCW radars allow measuring the distance of the detected subject, and can detect motion [6].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Measurements of cardiac and cardiopulmonary activities using contactless Doppler radar

El-Samad

Obeid

Zaharia

et al. 2015

2015 International Conference on Advances in Biomedical Engineering (ICABME)

View full text Add to dashboard Cite

Abstract-This paper presents a wireless measurement system for cardiopulmonary activity. This system generates a continuous wave signal at 2.4 GHz toward the target and then measures the reflected signal. The target is the person's chest set at a distance of 1 m. The radar system contains a vector network analyzer, which measures the phase of S 21 . The phase variation of S 21 contains information about heart and respiration activity. Measurements are performed with two different conditions, while the person is holding respiration for 10 seconds and then breathing normally for the same duration. Filtering is used as processing technique to separate heartbeat signal from respiratory signal in the second case. The measurements were performed simultaneously with a PC-based electrocardiograph which is used as a reference to validate the information extracted from the measured signals.

show abstract

Exploring Physiological Features from on‐Body Radio Channels

Munoz

Hao

2016

Electromagnetics of Body Area Networks

View full text Add to dashboard Cite

Application of Linear-Frequency-Modulated Continuous-Wave (LFMCW) Radars for Tracking of Vital Signs

Cited by 255 publications

References 28 publications

Adaptive Threshold Detection and Estimation of Linear Frequency-Modulated Continuous-Wave Signals Based on Periodic Fractional Fourier Transform

Adaptive Threshold Detection and Estimation of Linear Frequency-Modulated Continuous-Wave Signals Based on Periodic Fractional Fourier Transform

Measurements of cardiac and cardiopulmonary activities using contactless Doppler radar

Exploring Physiological Features from on‐Body Radio Channels

Contact Info

Product

Resources

About