Applying singular value decomposition for clutter reduction in heartbeat estimation using M-sequence UWB Radar

Abstract

Recently, Ultra-Wideband (UWB) radar has been used for vital signs detection and monitoring due to its inherent features. Here the purpose is to remotely detect and monitor the heartbeat signal of a person in home. For this, different techniques are applied to the signal collected using a M-sequence UWB radar from the neck, in order to estimate the heartbeat rate and to suppress the clutter. The moving average method is used to remove the stationary clutter, after that, Singular Value Decomposition (SVD) is applied to the signal to cancel the non-stationary clutter. Finally, Fast Fourier transform (FFT) is used for the estimation of the heartbeat rate. The measurement results show that the algorithm has a good performance in detecting heartbeat motions, and its rate has been also estimated.