Multi-target tracking technology of phased array radar based on data processing resource scheduling algorithm

In the process of radar multi-target radar tracking, a variety of multiple targets will lead to a large amount of data to be processed, which increases the complexity of data processing and the computational load. At the same time, the motion characteristics and importance of different targets are different, and it is necessary to allocate data processing resources reasonably to achieve priority tracking of key targets. Aiming at the above problems, this paper proposes a technology that uses advanced data processing algorithms and resource scheduling strategies to achieve efficient tracking of multiple targets by phased array radar systems. The technology determines the priority of different targets according to the importance and mobility of the target, and then changes in real time according to the number of targets and the state of motion. The situation dynamically adjusts the allocation of data processing resources, so that the radar system can process the reflected signals of a large number of targets in real time. Experiments show that the algorithm can accurately estimate the dynamic parameters such as position, velocity and acceleration of the target, and improve the monitoring ability and target recognition accuracy of the radar system.