An improved signal processing algorithm for VSF extraction
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Contactless detection of human beings via extracting vital sign features (VSF) is a perfect technology by employing an ultra-wideband radar. Only using Fourier transform, it is a challenging task to extract VSF in a complex environment, which can cause a lower signal to noise ratio (SNR) and significant errors due to the harmonics. This paper proposes an improved signal processing algorithm for VSF extraction via analyzing the skewness and standard deviation of the collected impulses. The discrete windowed Fourier transform technique is used to estimate the time of arrival of the pulses. The frequency of human breathing movements is obtained using an accumulation scheme in frequency domain, which can better cancel out the harmonics. The capabilities of removing clutters and improving SNR are validated compared with several well-known methods experimentally.
KeywordsUltra-wideband (UWB) radar Vital sign feature (VSF) Discrete windowed Fourier transform (DWFT)
This work was funded by the Science and Technology on Electronic Test and Measurement Laboratory (614200102010617, 614200103010117, 614200105010217), and China Electronics Technology Group Corporation Innovation Fund (KJ1701008).
- Koo, Y. S., et al. (2013). UWB MicroDoppler radar for human gait analysis, tracking more than one person, and vital sign detection of moving persons. In IEEE MTT-S International Microwave Symposium Digest, Seattle, WA, USA (pp. 1–4).Google Scholar
- Liang, X., et al. (2018c). An improved algorithm for through-wall target detection using ultra-wideband impulse radar. IEEE Access, 5(99), 22101–22118.Google Scholar
- Liang, X., et al. (2018e). Ultra-wide band impulse radar for life detection using wavelet packet decomposition. Physical Communication, 4(4), 1–20.Google Scholar
- Liang, X., et al. (2018f). Through-wall human being detection using UWB impulse radar. EURASIP Journal on Wireless Communications and Networking, 2018(46), 1–17.Google Scholar
- Mercuri, M., et al. (2013). Optimized SFCW radar sensor aiming at fall detection in a real room environment. In Proceedings of the IEEE biomedical wireless technologies, networks, and sensing systems, Austin, TX, USA (pp. 4–6).Google Scholar
- Wang, S., et al. (2015). A novel ultra-wideband 80 GHz FMCW radar system for contactless monitoring of vital signs. In Proceedings of the IEEE engineering in medicine and biology society, Milan, Italy (pp. 4978–4981).Google Scholar
- Wang, Y., Liu, Q., & Fathy, A. E. (2012). Simultaneous localization and respiration detection of multiple people using low cost UWB biometric pulse Doppler radar sensor. In IEEE MTT-S international microwave symposium digest, Montreal, QC, Canada (pp. 1–3).Google Scholar