| 引用本文: | 陈辉,庞虎,连峰,韩崇昭.克里金模型星凸形扩展目标跟踪算法[J].控制理论与应用,2026,43(4):728~737.[点击复制] |
| CHEN Hui,PANG Hu,LIAN Feng,HAN Chong-zhao.Star-convex extended target tracking using Kriging model[J].Control Theory & Applications,2026,43(4):728~737.[点击复制] |
|
| 克里金模型星凸形扩展目标跟踪算法 |
| Star-convex extended target tracking using Kriging model |
| 摘要点击 155 全文点击 30 投稿时间：2024-06-24 修订日期：2025-06-22 |
| 查看全文 查看/发表评论 下载PDF阅读器 HTML |
| DOI编号 10.7641/CTA.2025.40338 |
| 2026,43(4):728-737 |
| 中文关键词 扩展目标跟踪 星凸形 克里金模型 非线性滤波 |
| 英文关键词 extended target tracking star-convex Kriging model nonlinear filtering |
| 基金项目 国家自然科学基金项目(62163023, 61873116, 62366031, 62363023), 甘肃省基础研究创新群体项目(25JRRA058), 2023年甘肃省军民融合发展专 项资金项目, 2024年度甘肃省重点人才项目(2024RCXM86), 2025年中央引导地方科技发展资金项目资助. |
|
| 中文摘要 |
| 在高分辨率传感器条件下, 针对星凸形不规则形状扩展目标跟踪问题, 本文提出了克里金模型星凸形扩展
目标跟踪算法. 首先, 在随机超曲面模型(RHM)的基础上以径向函数描述星凸形扩展目标的不规则外形. 然后, 通
过传感器获得的多源量测信息, 以克里金模型(Kriging)建立径向函数输入与输出之间的非线性映射关系, 进而推导
得出对应非线性量测方程. 最后, 结合非线性最优滤波器推导出克里金模型星凸形扩展目标跟踪算法, 并使用弗–
面加权距离作为星凸形扩展目标形状估计评价指标. 仿真实验表明了所提算法对于不规则星凸形扩展目标跟踪估
计的有效性. |
| 英文摘要 |
| In this paper, a Kriging model extended target tracking algorithm is proposed for the extended target tracking
problem with irregular shape of star convex under the condition of high-resolution sensors. Firstly, the irregular shape of the
extended target is modeled by the radial function based on the random hypersurface model (RHM). Then, through the multisource measurements information obtained by the sensor, the nonlinear mapping relationship between input and output
of the radial function is represented by the Kriging model, and the corresponding nonlinear measurement equations are
derived. Finally, the Kriging model based extended target tracking algorithm is derived by combining the nonlinear optimal
filter, and the Fourier-plane weighted distance is used as an evaluation index for the shape estimation of the extended target.
The simulation experiments verify the effectiveness of the proposed algorithm for the tracking estimation of irregular star
convex extended targets. |
|
|
|
|
|