Multiple stationary human respiratory detection by IR-UWB radar

Impulse Radio Ultra-Wide-Band (IR-UWB) radar innovation shows significant promise for non-contact observing purposes, namely in detecting individual vital signs such as heart rate (HR) and respiration rate (RR), also determining a human being's position. This work introduces an experimental method to accurately determine the breathing rate and position of a person who is not moving. The current thesis describes an approach that involves using preprocessing methods to improve the effectiveness of clutter reduction, and then examining the frequency range of the signals. This research introduces two methodologies for preparing the unprocessed data that is manifested by the person. The process consists of two steps: firstly, the raw data undergoes coherent background subtraction, and the resulting details are then passed through the 5th-order Butterworth Band-pass filter. Subsequently, the output package of the second largest eigenvalue (SLE) automatically performs the localization of individual positions. The second method involves applying coherent background subtraction to the raw data. The output of this stage is fed into the 5th-order Butterworth Band-pass filter. Finally, individual positions are manually determined by selecting rows. The current work utilizes the Fast Fourier Transform (FFT) as a processing method to determine the individual respiratory rate (RR) in the frequency range. This thesis presents an assessment of a suggested method that utilizes a P440 (IR-UWB) radar. The current research offers actual proof that the suggested approach is effective in precisely identifying the vital signs of multiple stationary persons.