基于蚂蚁规则库的纯方位目标跟踪的航迹起始

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.

Track Initiation Method Based on Ant Rule Base for Bearings-Only Target Tracking

For the NP-hard problem of track initiation for bearings-only multi-target tracking, an ant base rule based tracking
initiation method is proposed. Firstly, ant optimization algorithm is used to obtain the classification rule and further form the rule base. Then the rule base is employed to classify the candidate points, which are generated by the measurements from different sensors, and to extract candidates possible from real targets. Finally, the logic-based method is utilized to initiate tracks of interest among these extracted points. The numerical simulation results show the effectiveness of the proposed method, and the performance comparison of different methods is performed as well.