基于多目标航迹起始算法的船舶雷达监视系统设计

Design of Ship Radar Surveillance System Based on Multi-target Track Initiation Algorithm

针对海面机动目标实时跟踪难、定位精度低等问题,为进一步拓宽近海领域监管,保证邻海安全,船舶雷达监视系统的优化设计与实现是值得深入研究的方向。通过对船舶雷达监视系统的架构分析和功能设计等研究,利用多源数据融合技术实现对近海船舶目标的实时、动态、立体的区块化智能监控。并针对船舶机动目标跟踪这一核心问题,提出了一种基于非线性无迹卡尔曼滤波(UKF)的多目标航迹起始算法,能有效提高目标探测概率并降低虚假航迹,并通过仿真验证了算法的有效性。该研究具有一定的参考价值。

Aiming at the difficult real-time tracking and low positioning accuracy of mobile targets on the sea,in order to further broaden the supervision of offshore areas and ensure the safety of adjacent seas,the optimal design and implementation of ship radar surveillance systems are worth intensive research.Through the research into architecture analysis,functional design,etc.of a ship radar surveillance system,multi-source data fusion technology has been utilized in this paper to achieve real-time,dynamic and three-dimensional block-based intelligent monitoring of offshore ship targets.Aiming at the core issue of ship maneuvering target tracking,a multi-target track initiation algorithm based on nonlinear unsented Kalman Filter(UKF)filtering is proposed in this paper,which can effectively improve the probability of detecting targets and reduce the false tracks.The effectiveness of the algorithm is verified by simulation.This study has certain reference value.