Multi-target OOSM-GMPHD filtering algorithm with out-of-sequence measurement

ZHAO Kai; HU Jian-wang; JI Bing; LIU Gang

doi:10.13873/j.1000-9787(2017)11-0154-04

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Multi-target OOSM-GMPHD filtering algorithm with out-of-sequence measurement

更新时间：2025-09-11

- Multi-target OOSM-GMPHD filtering algorithm with out-of-sequence measurement
- Vol. 36, Issue 11, Pages: 154-157+160(2017)
- 作者机构：
  
  1. 军械工程学院信息工程系
  2. 71697部队
- 作者简介：
- 基金信息：
- DOI：10.13873/j.1000-9787(2017)11-0154-04
  CLC： TN713
- Published：2017
- 稿件说明：
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[1]赵凯,胡建旺,吉兵,刘钢.多目标无序量测OOSM-GMPHD滤波算法[J].传感器与微系统,2017,36(11):154-157+160.

ZHAO Kai, HU Jian-wang, JI Bing, et al. Multi-target OOSM-GMPHD filtering algorithm with out-of-sequence measurement[J]. 2017, 36(11): 154-157+160.
[1]赵凯,胡建旺,吉兵,刘钢.多目标无序量测OOSM-GMPHD滤波算法[J].传感器与微系统,2017,36(11):154-157+160. DOI： 10.13873/j.1000-9787(2017)11-0154-04.

ZHAO Kai, HU Jian-wang, JI Bing, et al. Multi-target OOSM-GMPHD filtering algorithm with out-of-sequence measurement[J]. 2017, 36(11): 154-157+160. DOI： 10.13873/j.1000-9787(2017)11-0154-04.

摘要

针对无序量测条件下多目标跟踪问题

提出了一种适用于线性系统的单步滞后无序量测滤波算法（OOSM-GMPHD）。在前向预测框架内

以高斯混合概率假设密度（GMPHD）滤波器为基础滤波算法

对每一高斯分量分别用延迟到达的量测与等价量测进行预测、更新

经剪枝与合并等步骤获得最终的目标数量与状态估计。仿真结果表明:算法可有效消除无序量测的影响

准确估计多目标数目和状态。

Abstract

For addressing multi-target tracking problem with out-of-sequence measurement（ OOSM）

a filtering algorithm is proposed with multiple single-step-lag OOSM for linear system

which denotes as OOSM-Gaussian mixture probability hypothesis density（ GMPHD）. Within the forward prediction framework

taking GMPHD as basis filtering algorithm

predicting and updating each Gaussian component

and then can obtained the target number and state estimation after pruning and merging. etc. Simulation results show that the algorithm can effectively filter out influence of OOSM and can accurately estimate the multi-target number and state.

关键词

Keywords

references

改进匹配方法的BFG-GMPHD滤波算法 [J]. 赵斌,胡建旺,吉兵. 传感器与微系统 . 2016(07)

无序量测问题研究综述 [J]. 吴卫华,江晶. 传感器与微系统 . 2014(12)

快速边缘粒子滤波在无序量测问题中的应用 [J]. 袁丁,胡建旺,吉兵,顾峰. 传感器与微系统 . 2014(06)

基于ET-GM-PHD的多传感器多目标跟踪算法 [J]. 刘丽娟,刘国栋. 传感器与微系统 . 2013(10)

多传感器多目标跟踪的粒子PHD滤波算法 [J]. 郝燕玲,孟凡彬,张崇猛,蔡艺峰,王素鑫. 传感器与微系统 . 2010(04)

国外军事信息融合理论与应用的研究进展 [J]. 王洪锋,周磊,单甘霖. 电光与控制 . 2007(04)

单步延迟无序量测滤波算法的最优性分析 [J]. 周文辉,李琳,陈国海,余安喜. 中国科学（E辑:信息科学） . 2007(04)

多源信息融合[M]. 清华大学出版社 , 韩崇昭, 2010

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