一种多目标自动跟踪的逻辑关联方法

A logical association method in multi-target automatic tracking

目标跟踪是被动声纳系统的主要功能之一,跟踪器为目标运动分析和目标识别等后置处理提供输入数据。声纳操作员利用人脑独特的认知模式、先验知识和视觉的迹迹相关效应,能够很好地在声纳显示方位历程图上发现目标并录取跟踪。但实际应用中由于低信噪比、航迹交叉和转向等复杂多目标情形,声纳系统实现多目标自动跟踪十分困难。给出一种多目标自动跟踪的逻辑关联方法,利用被动声纳宽带波束输出数据,通过点迹与航迹关联、航迹评价管理和交叉处理等过程,可以较好实现多目标自动跟踪。试验数据的处理结果验证了所提方法的有效性,能够在声纳装备中得到工程应用。

Target tracking is one of the most important functions in passive sonar systems. The tracked data are provided for the post-processing of target motion analysis and target recognition. Sonar operators can easily find and track the target from the bearing-time recording, by the use of the advanced cognitive model of human brain, the prior knowledge and visual trace-to-trace correlation. However, automatic multi-target tracking is very difficult to achieve in practical sonar systems, due to the complex multi-target conditions such as low signal-to-noise ratio, track cross and course varying. An automatic multi-target tracking method was proposed based on the logical association method. Broadband beam was used for data output from passive sonar. Automatic multi-target tracking could be well implemented by the use of the track association with point tracks, track evaluation management and track cross-processing. Experimental results demonstrated the effectiveness of the proposed method.