Wavelet based denoising of the simulated chest wall motion detected by SFCW radar
Yükleniyor...
Dosyalar
Tarih
2019
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
LGEP-SUPELEC
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
Low power and compact radars have emerged with the development of electronic technology. This has enabled the use of radars in indoor environments and the realization of many applications. The detection, tracking and classification of human movements by radar are among the remarkable applications. Contactless detection of human vital signs improves the quality of life of patients being kept under observation and facilitates the work of experts. In this study, it was simulated that the movement of the chest wall was modeled and detected by the SFCW radar. Gaussian, Rician and uniformly distributed random noise types were added to the modeled chest motion at different levels. The noisy signal obtained at the receiver is denoised with different mother wavelet functions and the performances of these functions are presented comparatively.
Açıklama
Anahtar Kelimeler
Wavelet, chest wall motion, SFCW radar
Kaynak
ADVANCED ELECTROMAGNETICS
WoS Q Değeri
N/A
Scopus Q Değeri
Q3
Cilt
8
Sayı
2
Künye
Acar, Y. E., Seflek, I., Yaldız, E. (2019). Wavelet Based Denoising of the Simulated Chest Wall Motion Detected by SFCW Radar. Advanced Electromagnetics, 8(2), 85-91.
