Finding the Missing Data: A BERT-inspired Approach Against Package Loss in Wireless Sensing

arXiv:2403.12400v1 Announce Type: new
Abstract: Despite the development of various deep learning methods for Wi-Fi sensing, package loss often results in noncontinuous estimation of the Channel State Information (CSI), which negatively impacts the performance of the learning models. To overcome this challenge, we propose a deep learning model based on Bidirectional Encoder Representations from Transformers (BERT) for CSI recovery, named CSI-BERT. CSI-BERT can be trained in an self-supervised manner on the target dataset without the need for additional data. Furthermore, …

arxiv bert cs.ai cs.lg data eess.sp loss package sensing type wireless