Heart and respiratory detection and simulations for tracking humans based on respiration by using pulse-based radar

Abstract

In this paper we present experimental findings of both the heart and respiratory rate of a static person using pulse based radar and we present a simulated system for tracking a moving person based on respiratory motion in an indoor environment. In the simulation the subject moves in one dimension and the system is able to track the subject by detecting their respiration. The presented system contains a transmitter, receiver, and channel model section, in addition to control section which controls the transceiver and processes the received data. The Gaussian monocycle is considered as transmitted pulse and the channel is modeled based on multipath delay and attenuation. The system first removes the person's movement using correlation between each received wave form. Then, the respiration rate of the target is calculated. Finally, the respiration rate is used to track the specific target in an indoor environment. The system is effective for accurate tracking of subjects walking in one direction, under 10 m/s. The algorithm for finding heart and respiratory rates is the same for both real and simulated environments.