弱目标自动跟踪中的线谱检测

Weak target tracking algorithm based on line spectrum detection

摘要:

为提高在低信噪比及多目标干扰下的被动弱目标自动检测、跟踪能力，提出一种带有多线谱融合、优选的线谱目标自动跟踪算法。该算法基于线谱检测，对融合多线谱特征的线谱目标进行自动跟踪，确定线谱目标的建立、删除、融合及关联准则，采用针对航迹的多假设跟踪(MHT)算法对多目标进行自动跟踪，具有计算量小，弱目标跟踪能力强的优点。海试数据分析表明，在强目标干扰的情况下，本算法仍可以对具有线谱特征的弱目标进行稳定跟踪。

Abstract:

To enhance the automatic detection and tracking capabilities of passive weak targets under low signal-to noise ratios and in the presence of multiple target interference, a novel algorithm with multi-line spectrum fusion and optimal line spectrum target automatic tracking is proposed. This algorithm is based on line spectrum detection and automatically tracks targets with fused multi-line spectrum features, establishing the criteria for the creation, deletion, fusion, and association of line spectrum targets. It employs a Multi-Hypothesis Tracking(MHT) algorithm tailored for trajectories to automatically track multiple targets, offering the advantages of low computational complexity and strong weak target tracking capability. Analysis of sea trial data indicates that even in the presence of strong target interference, this algorithm can still provide stable tracking for weak targets with line spectrum characteristics.