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Wavelet based denoising of the simulated chest wall motion detected by SFCW radar

Advanced Electromagnetics · Ocak 2019

Makale Bilgileri

DergiAdvanced Electromagnetics
Yayın TarihiOcak 2019
Cilt / Sayfa8 · 85-91
Erişim🔓 Açık Erişim
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.

Yazarlar (3)

1
Yunus Emre Acar
2
Ibrahim Seflek
3
Ercan Yaldiz

Kurumlar

Konya Technical University
Konya Turkey
Selçuk Üniversitesi
Selçuklu Turkey

Metrikler

5
Atıf
3
Yazar