孙伟峰, 刘秋爽, 李小彤, 等, 2024. 基于多帧聚类的紧凑型地波雷达海上目标航迹起始方法[J]. 海洋科学进展, 42(2): 370-383. doi: 10.12362/j.issn.1671-6647.20230323001.
引用本文: 孙伟峰, 刘秋爽, 李小彤, 等, 2024. 基于多帧聚类的紧凑型地波雷达海上目标航迹起始方法[J]. 海洋科学进展, 42(2): 370-383. doi: 10.12362/j.issn.1671-6647.20230323001.
SUN W F, LIU Q S, LI X T, et al, 2024. A maritime target track initiation method based on multi-frame clustering for compact ground wave radar[J]. Advances in Marine Science, 42(2): 370-383. DOI: 10.12362/j.issn.1671-6647.20230323001
Citation: SUN W F, LIU Q S, LI X T, et al, 2024. A maritime target track initiation method based on multi-frame clustering for compact ground wave radar[J]. Advances in Marine Science, 42(2): 370-383. DOI: 10.12362/j.issn.1671-6647.20230323001

基于多帧聚类的紧凑型地波雷达海上目标航迹起始方法

A Maritime Target Track Initiation Method Based on Multi-Frame Clustering for Compact Ground Wave Radar

  • 摘要: 紧凑型地波雷达是专属经济区内海上船只目标监测预警的重要手段。由于其发射功率低、目标回波信噪比低,在对海上船只目标检测过程中较低的检测概率极易导致目标漏检,采用序贯类方法难以及时起始航迹。对此,本文通过分析杂波和目标的地理位置以及径向速度随时间变化的特点,提出了一种基于多帧聚类的紧凑型地波雷达海上目标航迹起始方法。该方法利用目标和杂波在连续多帧内运动特征的差异,在具有噪声的基于密度的空间聚类算法(Density-Based Spatial Clustering of Applications with Noise, DBSCAN)求解聚类ε邻域的过程中增加运动特征约束,将各船只目标在多帧内的点迹聚类为不同的簇,实现海上船只目标点迹与杂波点的区分,将簇内点迹按时间顺序顺次连接得到起始航迹。利用仿真与实测紧凑型地波雷达数据开展了航迹起始实验,结果表明,与逻辑法相比,本文方法得到的航迹起始时间平均提前了5.95 min,丢点率平均降低了12.68%,解决了海上弱目标航迹起始时间滞后的问题,适用于杂波区目标与雷达远端船只目标的航迹起始。

     

    Abstract: Compact ground wave radar is an important means for maritime target monitoring and early warning within the exclusive economic zone. However, due to its low transmit power and low signal-to-noise ratio of target echoes, the low detection probability may easily lead to missed detections of maritime vessels, making track initiation with sequential methods more challenging. In this paper, a maritime target track initiation method based on multi-frame clustering is proposed for compact ground wave radar by analyzing the different characteristics of clutter and targets in terms of position and velocity changes over time. This method leverages the discrepancy in motion features between the target and clutter across multiple consecutive frames. By incorporating motion feature constraints into the Density-Based Spatial Clustering of Applications with Noise (DBSCAN), the plots of each vessel in multiple frames are grouped into distinct clusters, thereby distinguishing the target track points from the clutter ones. The track points within each cluster are connected in chronological order to produce the initiated target trajectory. Track initiation experiments were conducted using both simulated and field data. The results show that compared with the logical method, the proposed method improves the initiation time by 5.95 minutes on average with the loss rate reduced by 12.68%. The proposed method can solve problems of delayed weak target track initiation and is suitable for initiating target tracks in cluttered areas or in long distances.

     

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