Interference Motion Removal for Doppler Radar Vital Sign Detection Using Variational Encoder-Decoder Neural Network

arXiv:2404.08298v1 Announce Type: new
Abstract: The treatment of interfering motion contributions remains one of the key challenges in the domain of radar-based vital sign monitoring. Removal of the interference to extract the vital sign contributions is demanding due to overlapping Doppler bands, the complex structure of the interference motions and significant variations in the power levels of their contributions. A novel approach to the removal of interference through the use of a probabilistic deep learning model is presented. Results show …

abstract arxiv challenges cs.cv decoder detection domain encoder encoder-decoder extract interference key monitoring network neural network radar the key treatment type vital