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星凸形不规则形状多扩展目标PMBM滤波器

陈辉 刘孟波 连峰 韩崇昭

北京航空航天大学学报2026,Vol.52Issue(1):49-60,12.
北京航空航天大学学报2026,Vol.52Issue(1):49-60,12.DOI:10.13700/j.bh.1001-5965.2023.0766

星凸形不规则形状多扩展目标PMBM滤波器

Star convex irregular shape multi-extended target PMBM filter

陈辉 1刘孟波 1连峰 2韩崇昭2

作者信息

  • 1. 兰州理工大学 自动化与电气工程学院,兰州 730050
  • 2. 西安交通大学 自动化科学与工程学院,西安 710049
  • 折叠

摘要

Abstract

This work suggests a star convex irregular shape multi-extended target Poisson multi-Bernoulli mixture(PMBM)filtering algorithm to address the challenge of monitoring multiple extended targets with irregular shapes in complicated and uncertain situations.First,the Poisson point process(PPP)and multi-Bernoulli mixture(MBM)are used to model the unknown and existing target sets,effectively representing potential target information while establishing an efficient multi-target density recursive form.The measurement source distribution of any star convex extended target is accurately modeled by the random hypersurface model,and the best nonlinear filter solves the highly nonlinear pseudo measurement equation.On the basis of deriving the extended target Poisson multi-Bernoulli mixture(ETPMBM)filter,the Gaussian mixture star convex irregular shape multi-extended target PMBM filter algorithm is derived and proposed in detail.In order to effectively and recursively estimate the probability density of numerous extended targets with multiple feature information,including irregular forms,this approach can create more compact multi-Bernoulli global hypotheses.Finally,the effectiveness of the algorithm proposed in this paper is verified through simulation experiments of multiple extended target tracking and multiple group target tracking.

关键词

多扩展目标跟踪/随机超曲面模型/泊松多伯努利混合/最优非线性滤波/高斯混合

Key words

multiple extended target tracking/random hypersurface model/Poisson multi-Bernoulli mixture/optimal nonlinear filter/Gaussian mixture

分类

信息技术与安全科学

引用本文复制引用

陈辉,刘孟波,连峰,韩崇昭..星凸形不规则形状多扩展目标PMBM滤波器[J].北京航空航天大学学报,2026,52(1):49-60,12.

基金项目

国家自然科学基金(62163023) (62163023)

甘肃省基础研究创新群体(25JRRA058) (25JRRA058)

中央引导地方科技发展资金项目(25ZYJA040) (25ZYJA040)

甘肃省重点人才项目(2024RCXM86) National Natural Science Foundation of China(62163023) (2024RCXM86)

Gansu Provincial Basic Research Innovation Group of China(25JRRA058) (25JRRA058)

Central Government's Funds for Guiding Local Science and Technology Development of China(25ZYJA040) (25ZYJA040)

Gansu Provincial Key Talent Project of China(2024RCXM86) (2024RCXM86)

北京航空航天大学学报

1001-5965

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