Compressive sensing based approach for detection of human respiratory rate

In this paper, the non-invasive detection of human respiratory rate using a stepped-frequency continuous wave (SFCW) radar is addressed through the compressive sensing (CS) framework. Range profiles and the respiratory signatures are resolved using measurements at small numbers of randomly selected frequencies and slow-time samples. The performance of the proposed approach is evaluated through simulation results in terms of accuracy and efficiency.