针对高密集杂波环境下难以有效的进行航迹起始,提出了一种新的起始算法。利用首次扫描的位置信息形成可能航迹,后续周期利用航迹的状态估计信息形成一种椭圆关联门,同时加以角度限制抑制与航迹形成V字的点迹,并对航迹实行分类关联,最终快速起始一条正确的航迹。通过对算法及其性能指标的仿真分析可知,新算法具有更低的虚假航迹起始概率,有更好的起始性能。 Aiming at the difficult start-up of track in high-density clutter environment, a new starting algorithm is proposed. Using the position information of the first scan to form the possible track, the subsequent cycle uses the state estimation information of the track to form an elliptic association gate, at the same time, the point trace of the V word is restrained by the angle restriction, and the track is classified and correlated, Finally, quickly start a correct track. Through the simulation analysis of the algorithm and its performance indicators, the new algorithm has a lower starting probability of false track and has better initial performance.