针对纯方位多目标航迹起始中的NP-hard难题,提出一种基于蚂蚁规则库的航迹起始方法.首先,利用蚁群优化算法获取分类规则并形成规则库;然后,利用规则库将来自不同传感器的扫描量测所产生的候选点进行分类,提取出最有可能源自真实目标的候选点,并将这些候选点运用逻辑法进行航迹起始;最后,仿真实验和不同方法的性能比较结果表明了该方法的有效性. Aiming at the NP-hard problem in the start-up of a multi-target track with purely azimuth, a track initiation method based on the ant-rule base is proposed. First, the classification rules are obtained by using the ant colony optimization algorithm to form the rule base. Then, Classify the candidate points generated by scanning measurements from different sensors, extract the candidate points that are most likely to be derived from real targets, and use logical methods for these trajectories. Finally, the simulation experiments and different methods The comparison of performance shows that the method is effective.