一种基于幅度特征的对海雷达线性跟踪方法
作者:
作者单位:

作者简介:

通讯作者:

基金项目:

伦理声明:



A linear tracking method of sea radar based on the amplitude information
Author:
Ethical statement:

Affiliation:

Funding:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
    摘要:

    针对海面复杂目标背景下,多目标跟踪过程中特征辅助优化跟踪精确度低和计算量大等问题,提出一种基于目标幅度特征的对海雷达线性跟踪方法。建立信号幅度的数学模型,将其与计算量线性增长的线性联合综合数据关联(LJIPDA)算法相结合,给出新的基于幅度的线性联合综合数据关联的(LJIPDA-AI)对海雷达线性跟踪方法。仿真验证结果表明,LJIPDA-AI方法较LJIPDA方法有效提高了跟踪精确度,较JIPDA算法有效降低了计算量并提高了跟踪精确度。因此,LJIPDA-AI算法能够显著改善海面复杂目标背景下的多目标跟踪性能。

    Abstract:

    Considering the existing problems of information-aided tracking and reducing the amount of calculation of data association on the context of the complex environment of sea targets during the processing of multi-target tracking, a new way of data association based on the Amplitude Information(AI) of the signal is proposed. Firstly, the mathematic model of the signal amplitude is build. And then by bringing the signal amplitude into the traditional algorithm of Linear Joint Integrated Probabilistic Data Association(LJIPDA), a new linear tracking method of sea radar with AI aided data association is given. The simulation results show that the new LJIPDA-AI algorithm can effectively improve the tracking accuracy compared with the LJIPDA method, and reduce the computational complexity as well as improve the tracking accuracy compared with the JIPDA algorithm. In conclusion, the new LJIPDA-AI algorithm can effectively improve the tracking performance in complex sea environment.

    参考文献
    相似文献
    引证文献
引用本文

张 存,王永坤,钮 伟.一种基于幅度特征的对海雷达线性跟踪方法[J].太赫兹科学与电子信息学报,2019,17(5):771~776

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
历史
  • 收稿日期:2017-12-04
  • 最后修改日期:2018-06-14
  • 录用日期:
  • 在线发布日期: 2019-11-04
  • 出版日期: