Microwave radar has wide applications in the field of vital sign detection, but there are still some challenges in detecting multiple people in complex environments. For this problem, in this article, a multi-target vital signs detection system based on the fusion of radar and optical image is proposed. This system employs a fusion algorithm to enhance the speed and precision of detection. By comparing the measured data with the reference signal, it can be considered that the measured data has a certain accuracy. The average absolute error in heart rate (HR) detection was 4 beats per minute (BPM), while respiratory rate (RR) detection exhibited an error of 0.75 respirations per minute (RPM). The accuracy of heart rate detection stood at 91.61%, while respiratory rate detection accuracy attained 99.01%.
A low-complexity FMCW-SAR motion target imaging scheme has been proposed. This scheme consists of an FMCWSAR system and a moving object detection method. The FMCW-SAR system uses an equivalent virtual array to increase the number of transceiver antenna pairs, thereby improving radar azimuth resolution and the use of a PLL structure to improve signal linearity in FMCW radar. This hardware design improves radar imaging performance while reducing complexity. The motion target detection method controls the virtual array components to monitor the motion targets in real-time during the process of motion target monitoring. In the subsequent signal processing, signal interpolation is used to fill the signal used for imaging processing. The experiment shows that this method can effectively and accurately image the detected targets and has good time resource utilization.
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