Maneuvering Target Tracking in Doppler Blind Zone based on the Fusion of Active and Passive Measurements

被引:0
作者
Su Changjie [1 ]
Zhu Hongyan [1 ]
机构
[1] Xi An Jiao Tong Univ, Fac Elect & Informat Engn, Xian 710049, Peoples R China
来源
2022 41ST CHINESE CONTROL CONFERENCE (CCC) | 2022年
基金
中国国家自然科学基金;
关键词
Doppler blind zone; UKF; IMM; Maneuvering target tracking; HIDDEN;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In the detection range of Doppler radar, once the relative range rate of the target is less than the minimum detectable velocity (MDV), it means that the target enters the Doppler blind zone (DBZ) of the radar, making the problem of target tracking intractable. A maneuvering target tracking algorithm in Doppler blind zone based on the fusion of active and passive measurements (FAPM) is proposed in this paper. A range rate pseudo measurement under the MDV constraint is constructed based on the unscented transform (UT) firstly. After that, the range rate pseudo measurement and the passive measurement from electronic support measures (ESM) are combined for the filter process in the framework of IMM. Simulation results show that the algorithm has high accuracy and short response time for maneuvering target tracking in the DBZ.
引用
收藏
页码:2996 / 3001
页数:6
相关论文
共 50 条
  • [31] Maneuvering Vehicle Tracking Based on Multi-sensor Fusion
    CHEN Ying HAN ChongZhaoInstitution of Synthetic Automation Xi an Jiaotong University Xi an
    [J]. 自动化学报, 2005, (04) : 133 - 138
  • [32] Maneuvering target tracking in clutter based on separate bias estimation
    Wang Y.-L.
    Wang W.-H.
    [J]. Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics, 2010, 32 (07): : 1408 - 1410
  • [33] An Improved IMM Algorithm Based on STSRCKF for Maneuvering Target Tracking
    Han, Bo
    Huang, Hanqiao
    Lei, Lei
    Huang, Changqiang
    Zhang, Zhuoran
    [J]. IEEE ACCESS, 2019, 7 : 57795 - 57804
  • [34] Tracking maneuvering target based on neural fuzzy inference network
    Han, H
    Han, CZ
    Zhu, HY
    Wen, R
    [J]. FUSION 2003: PROCEEDINGS OF THE SIXTH INTERNATIONAL CONFERENCE OF INFORMATION FUSION, VOLS 1 AND 2, 2003, : 1411 - 1415
  • [35] An Adaptive Maneuvering Target Tracking Algorithm Based on Fuzzy Inference
    Hao L.
    Huang Y.
    Yao L.
    Cai Y.
    [J]. Shanghai Jiaotong Daxue Xuebao/Journal of Shanghai Jiaotong University, 2024, 58 (04): : 468 - 480
  • [36] GREY PREDICTION BASED PARTICLE FILTER FOR MANEUVERING TARGET TRACKING
    Chen, J. -F.
    Shi, Z-G
    Hong, S-H
    Chen, K-S
    [J]. PROGRESS IN ELECTROMAGNETICS RESEARCH-PIER, 2009, 93 : 237 - 254
  • [37] Maneuvering Target Tracking Algorithm Based on Interacting Multiple Models
    Yuan, Gannan
    Zhu, Wei
    Wang, Wei
    Yin, Bo
    [J]. MATHEMATICAL PROBLEMS IN ENGINEERING, 2015, 2015
  • [38] Multiple Maneuvering Target Tracking Based on Extended Kalman Filter
    Yao, Jun
    Liu, Yi-cong
    Chen, Yang-yang
    Xu, Ke
    [J]. 2018 CHINESE AUTOMATION CONGRESS (CAC), 2018, : 3763 - 3766
  • [39] Efficient and Enhanced Multi-Target Tracking with Doppler Measurements
    Wang, Xuezhi
    Musicki, Darko
    Ellem, Richard
    Fletcher, Fiona
    [J]. IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 2009, 45 (04) : 1400 - 1417
  • [40] Hierarchical-IMM Based Maneuvering Target Tracking in LOS/NLOS Hybrid Environments
    Zhou, Yan
    Hu, Lan
    Wang, Dongli
    [J]. IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, 2016, E99A (05) : 900 - 907