Behind the wall heartbeat detection using SVD and MTI filtering

Abstract

Heartbeat frequency of a living being is a key characteristic as it lies within a certain range. The heart beat frequency of a human subject behind the wall has been identified by applying singular value decomposition (SVD) based clutter reduction technique along with moving target indicator (MTI) filtering. The application of SVD improves the signal to clutter noise ratio (SCNR) of a signal coming from a human subject and make it possible for life feature detectable by MTI for through the wall detection. The final detection of human subject by tracking its heartbeat frequency from its distance measured referred to the antenna position is provided in a range doppler (RD) plane. © 2019 URSI. All rights reserved.