Application of Fresnel Zone Model in Wireless Sensing Field

Abstract

As a common model in the field of wireless sensing, the Fresnel zone model performs better than traditional deep learning in generalization ability, computational efficiency, robustness, and so on. It shows significant advantages in breath monitoring, gesture recognition, indoor behavior recognition, and so on. In this paper, the typical applications of the Fresnel band model in fine and coarse-grained wireless sensing tasks in recent ten years are listed. With the progress of the research, the concentric circle model, dynamic Fresnel region model, and through-wall wireless sensing model are developed in combination with other methods, which can well solve the wireless perception problem in non-line-of-sight scenes. Or combined with deep learning to develop new ways to solve specific problems. Over the course of development, the emergence of new methods makes the wireless perception scene more complex, Respiratory monitoring can be changed from one-person monitoring to multi-person detection, and the accuracy of gesture recognition and indoor behavior recognition is getting higher and higher.