基于异步航迹融合的乱序数据处理算法

李林 1; 2; 何芳 2; 黄柯棣 1

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基于异步航迹融合的乱序数据处理算法

专题研究 | 更新时间：2025-12-08

- 基于异步航迹融合的乱序数据处理算法
- Asynchronous Track Fusion Based Out-of-Sequence-Measurement Algorithm
- 西安交通大学学报 2008年42卷第4期页码：458-461
- 作者机构：
  
  1. 国防科技大学机电工程与自动化学院,长沙,410073
  2. 中国人民解放军63880部队,洛阳,471003
- 作者简介：
- 基金信息：
  
  : 2007-07-26. 作者简介: 李林(1976-),男,硕士,工程师. 基金项目: 国防科技重点实验室基金资助项目(5147405010KG0102)
- DOI：
  中图分类号： TN953
- 网络首发：2008-04-10，
  
  纸质出版：2008
- 稿件说明：
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李林 1, 2, 何芳 2, 等. 基于异步航迹融合的乱序数据处理算法[J]. 西安交通大学学报, 2008,42(4):458-461.

李林 1, 2, 何芳 2, et al. Asynchronous Track Fusion Based Out-of-Sequence-Measurement Algorithm[J]. 2008, 42(4): 458-461.
李林 1, 2, 何芳 2, 等. 基于异步航迹融合的乱序数据处理算法[J]. 西安交通大学学报, 2008,42(4):458-461. DOI：

李林 1, 2, 何芳 2, et al. Asynchronous Track Fusion Based Out-of-Sequence-Measurement Algorithm[J]. 2008, 42(4): 458-461. DOI：

摘要

针对集中式融合系统中从传感器到融合中心的传输延迟时间存在差异而导致融合中心出现乱序数据的问题

提出了一种能够处理单步延迟和多步延迟的乱序数据处理(ATFOOSM)算法.首先利用乱序时刻(乱序数据的采样时刻)前的滤波结果

通过卡尔曼滤波来获取乱序时刻的目标状态

再采用异步航迹融合的方式实现对当前时刻目标状态的更新.仿真中采用ATFOOSM算法和重新排序算法对单步延迟和多步延迟下的乱序数据进行处理

结果表明ATFOOSM算法能够获得与重新排序算法相近的滤波精度.

Abstract

For processing out-of-sequence measurements in the fusion center of a centralized fusion system which arise because of different time delays in transmitting measurements from various sensors to the center

an out-of-sequence measurement(ATFOOSM)algorithm for one-step-lag and multiple-step-lag out-of-sequence measurements is given. In ATFOOSM

the target state of out-of-sequence time(sampling time of out-of-sequence measurement)is obtained by applying Kalman filter to the results filtered before out-of-sequence time. Then

the current target state is updated by using asynchronous track fusion. In simulation

one-step-lag and multiple-step-lag out-of-sequence measurements are processed with both the ATFOOSM and repeated filtering algorithm. Simulation results show that the filtering performance of ATFOOSM is close to that of repeated filtering algorithm.

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references

MALLICK M, CORALUPPI S, CARTHEL C. Advances in asynchronous and decentralized estimation[C]∥Proceedings of 2001 IEEE Aerospace Conference. Piscataway, USA: IEEE, 2001:1873-1888.

BAR-SHALOM Y. Update with out-of-sequence measurements in tracking: exact solution[J]. IEEE Trans Aerospace and Electronic Systems, 2002,38(3):769-778.

BAR-SHALOM Y, MALLICK M, CHEN Huimin, et al. One-step solution for the general out-of-sequence-measurement problem in tracking [C]∥Proceedings of 2002 IEEE Aerospace Conference. Piscataway, USA: IEEE, 2002:1551-1559.

CHALLA S, LEGG J, WANG X. Track-to-track fusion of out-of-sequence tracks [C]∥Proceedings of the 5th International Conference on Information Fusion. Piscataway, USA: IEEE, 2002:919-926.

WANG X, CHALLA S. Augmented state IMM-PDA for OOSM solution to maneuvering target tracking in clutter [C]∥Proceedings of Radar 2003 International Conference. Piscataway, USA: IEEE, 2003:479-485.

BAR-SHALOM Y, CHEN H M, MALLICK M. One-step solution for the multistep out-of-sequence measurement problem in tracking [J]. IEEE Trans Aerospace and Electronic Systems, 2004, 40(1):27-37.

BAR-SHALOM Y, CHEN H M. IMM estimator with out-of-sequence measurements [J]. IEEE Trans Aerospace and Electronic Systems, 2005, 41(1):90-98.

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