Abstract:The current radar target tracking detection system has a large difference between the tracking route and the actual route, and the generalization error rate is high. Based on the parallel Boosting algorithm, a new radar target tracking and detection system is designed. The data multiprocessor is introduced in the hardware to process the collected radar position data centrally, connect the I/O interface, configure the data filter, and convert the radar position information data. The state parameters are entered into the filter element. In the software part, the internal learning fusion method of the parallel Boosting algorithm is used to adjust the status of different radar target tracking systems, and the corresponding tracking detection information is integrated through information processing, track analysis, and landing point judgment, and a test equation is constructed to prevent the intrusion of extraneous extraneous data. Finally, the operation status of radar target tracking data is obtained, and target tracking detection is completed. The experimental results show that the detection route set by the radar target tracking and detection system based on the parallel boosting algorithm matches the actual route up to 99.21%, the generalization error is far lower than the traditional target tracking and detection system, and the practicability is stronger.