文章摘要
付尚生,纪永刚,黎 明,王祎鸣.地波雷达目标检测跟踪联合处理粒子滤波方法[J].海洋科学进展,2021,39(1):128-135
  
DOI:10.3969/j.issn.1671-6647.2021.01.013
摘要点击次数: 1742
全文下载次数: 1254
地波雷达目标检测跟踪联合处理粒子滤波方法
Jiont Processing Method Based on Adaptive Particle Filter for Target Detection and Tracking by High Frequency Surface Wave Radar
作者单位
付尚生1,2,纪永刚1,黎 明2,王祎鸣1 1. 自然资源部 第一海洋研究所,山东 青岛 266061
2. 中国海洋大学 工程学院 山东 青岛266100 
中文摘要:
      针对固定粒子数PF-TBD算法计算量大、复杂环境下地波雷达海上船只目标检测与跟踪性能不佳的问题,本文将粒子滤波方法应用于地波雷达船只目标检测与跟踪中,提出了基于自适应粒子滤波的地波雷达目标检测与跟踪联合处理方法。该方法结合地波雷达回波谱中目标展宽特性,充分利用了地波雷达回波谱中面目标的粒子权重信息来设置粒子自适应采样策略,提高了目标检测和跟踪联合处理的效果。通过地波雷达实测数据的目标跟踪结果及与同步AIS信息的比对分析,结果表明:提出的检测跟踪联合处理方法在对低信噪比、快速机动等复杂环境下的多目标跟踪时,可提高目标整体跟踪性能。
中文关键词: 地波超视距雷达  检测与跟踪联合处理  粒子滤波  海上目标探测
英文摘要:
      The traditional particle filter-track before detection (PF-TBD) algorithm with fixed number of particles suffers from the large-scale and complex environment of high frequency surface wave radar (HFSWR). To solve this problem, an integrated method of target detection and tracking based on PF-TBD algorithm with adaptive particle filter is proposed. In the proposed method, combined with the target broadening characteristics in HFSWR spectrum, the particle adaptive sampling strategy is set by using the information contained in the particle weight of surface distributive target. Through the target tracking results of the measured data and the comparison with the synchronous automatic identification system (AIS) information, it shows that the proposed method can improve the overall tracking performance of multiple targets in complex environments such as low signal to noise ratio (SNR) and fast maneuvering targets.
英文关键词: high frequency surface wave radar  integration of detection and tracking  particle filtering  maritime target detection
基金项目:国家重点研发计划项目——海洋环境安全专项(2017YFC1405202);国家自然科学基金项目——T/R-T/R 体制双基地紧凑型地波雷达海上目标航迹多方位探测方法研究(61671166)
查看全文   查看/发表评论  下载PDF阅读器
关闭

分享按钮