Multi-target tracking and respiration detection method and device based on millimeter wave radar

Abstract

The invention discloses a multi-target tracking and breathing detection method and device based on a millimeter wave radar. The method comprises the following steps: acquiring distance, speed, angle and phase information from a sampled signal and completing detection of a target point; clustering the point clouds by using the provided improved fast DBSCAN algorithm; using a multi-target tracking algorithm to track the target and manage the trajectory; phase information corresponding to a plurality of targets is accurately obtained by using a target phase information extraction algorithm based on secondary clustering and statistical information provided by the invention; and on this basis, respiration information is extracted. According to the invention, a set of multi-target tracking and breathing detection system is designed and integrated on a set of device, and the system has the advantages of high real-time performance, high integration level, high engineering value and the like. Through the device, the number and the positions of the targets can be detected in real time on the end, the targets can be accurately tracked, and the breathing information of each target can be detected in the process.

Description

technical field [0001] The invention relates to the fields of indoor personnel monitoring, medical treatment, post-disaster rescue and the like, in particular to a millimeter-wave radar-based multi-target tracking and breathing detection method and device. Background technique [0002] Cameras have always been the main way to monitor indoor personnel, but the privacy protection of video surveillance has brought great inconvenience to users, especially in private places, such as family or public bathrooms, toilets, and hospital wards. There are big restrictions. The millimeter-wave radar technology has developed rapidly in recent years, making it very close to the camera in terms of cost and volume, and has unique advantages in terms of performance. It is not affected by environmental factors, such as weather, temperature and light, and does not require imaging. Privacy concerns are resolved, and the ultra-high position resolution enables precise positioning, making it easy ...

AI Technical Summary

Problems solved by technology

[0004] The current radar systems used in the field of life signal detection, such as continuous wave (CW) radar and ultra-wideband (UWB) radar, respectively, cannot measure the propagation delay time, so the distance information cannot be obtained, the utilization efficiency of the spectrum is not high, and the sampling rate is limited. The requirements are high, so the measurement accuracy is not high. FMCW millimeter wave radar has the advantages of CW radar and UWB radar at the same time, and can realize the distance measurement and speed measurement of the target at the same time, so that multiple detection targets can be distinguished and the micro-movement of the target can be extracted. information (such as breathing information), and has strong anti-interference ability

However, the research on the application of FMCW radar in the field of life signal detection started relatively late, and the signal processing process is relatively complicated. At present, most researches have relatively large restrictions on the number and location of testers. millimeter-wave radar (about 0.5m) for a single person to detect vital signs, there is basically no research on the combination of multi-target detection and breath detection, and there is still great development prospects in this field

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