Radar Target Tracking Algorithm Based on Alpha-Beta Filtering

摘要

Coastal radar tracking refers to the process of processing measured values from a target, maintaining the current state of the target, and associating them with the current and subsequent states of the target and performing smooth updating With quick development of coastal and port vessel surveillance, a big amount of target's tracking needs a high efficient tracking algorithm. For this purpose, combining radar tracking with Alpha-Beta filtering, an improved radar target tracking algorithm is proposed in this paper And some simulation tracking results are given to make a comparison of Kalman filter and Alpha-Beta filter algorithm. The results show that the proposed algorithm is superior to the above algorithms, which can effectively improve the tracking accuracy, obtain more accurate tracking information of the radar target, and lead to a widely application value in Vessel Traffic Service system.