The group tracking of targets on sea surface by 2-D search radar

Abstract

This paper discusses the group tracking algorithm for targets on the sea surface by 2-D search radar. A modified cluster-seeding method is used to define the group and deal with the splitting and merging of tracked groups. The Kalman filter is employed to estimate the group position of the next scan and keep tracking the target. All simulations on the target group, environment, and the maneuvering paths are executed which shows that the algorithm discussed in this paper is good in this application.