Human Target Detection and Tracking Algorithm based on MIMO Bio-radar

Obtaining information about human targets behind walls has important applications in rescue, anti-terrorism and other fields. In practical application scenarios, the randomness of human motion, mobility and complexity of the environment all bring difficulties to target detection and trajectory tracking. First, the target is easily lost when moving to a distance, in order to solve the problem , a radar variable false alarm rate detection algorithm based on detection and tracking is proposed; Second, the imaging results of the MIMO bio-radar are preprocessed based on image morphology, and filtered In addition to clutter; Again, the algorithm based on Euclidean distance and track start sliding window is used for data association, and the clutter is further suppressed; Finally, the Kalman algorithm is used to filter the data to obtain the accurate trajectory of the target movement to achieve the dynamic human body and the purpose of continuous target tracking.