Abstract: In the maritime multi-target tracking context of space tracking vessels,the trajectory correlation of target ships has remained a formidable challenge.Owing to the highly dynamic nature of the oceanic environment and the irregularity as well as randomness of sea clutter,the detected target points frequently encompass a multitude of false detections.This paper presents a motion-feature-based multi-target trajectory generation approach,which comprises two crucial stages:preprocessing and trajectory segment association.In the preprocessing stage,trajectory outliers are eliminated by imposing threshold constraints on latitude,longitude,speed,and heading angle,followed by a B-spline-based sampling-segmentation-interpolation method to enhance the completeness,continuity,and smoothness of the target trajectories.In the trajectory segment association stage,a multi-target tra-jectory association strategy is formulated,integrating motion features and temporal constraints.Experimental outcomes in real maritime scenarios illustrate that the proposed method substantially enhances the accuracy and robustness of trajectory generation.

Key words: Radar track correlation, Track interpolation, Track generation, Motion characterization, Multi-target