Passive target tracking by unscented filters

被引:0
|
作者
Vijayakumar, C [1 ]
Rajagopal, R [1 ]
机构
[1] REC, ECE Dept, Tiruchirappalli 610015, India
关键词
D O I
暂无
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Tracking of multiple targets by using only the bearing information is an important problem in passive sensing scenarios such as passive sonar or infrared seeker applications. In this paper, a new algorithm is presented to adaptively estimate the DOA's of multiple moving targets when linear Equispace Array (LES) is used for making the measurements. These algorithms are based on Differential MUSIC method. The results obtained by these algorithms are then applied as input to a Non-Linear state linear Measurement unscented filter. The unscented filter based tracker is compared with the EKF based tracker, Simulation results show that the former is superior to the latter.
引用
收藏
页码:129 / 134
页数:6
相关论文
共 50 条
  • [1] Iterated unscented Kalman filter for passive target tracking
    Zhan, Ronghui
    Wan, Jianwei
    [J]. IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 2007, 43 (03) : 1155 - 1163
  • [2] Unscented Kalman Filters for Multiple Target Tracking With Symmetric Measurement Equations
    Leven, William F.
    Lanterman, Aaron D.
    [J]. IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2009, 54 (02) : 370 - 375
  • [3] Neural Extended/Unscented Kalman Filter for Submarine Passive Target Tracking
    Rao, S. Koteswara
    Lakshmi, M. Kavitha
    Ghosh, Ankur
    [J]. OCEANS 2022, 2022,
  • [4] An Improved Mixture Unscented Kalman Filters Algorithm for Joint Target Tracking and Classification
    Zhan, Kun
    Xu, Long
    Jiang, Hong
    Bai, Liang
    Wu, Mengjie
    [J]. 2014 IEEE CHINESE GUIDANCE, NAVIGATION AND CONTROL CONFERENCE (CGNCC), 2014, : 1197 - 1202
  • [5] Adaptive Fading Memory Unscented Kalman Filter Algorithm for Passive Target Tracking
    Liu, Yucheng
    Liu, Yubin
    [J]. SENSOR LETTERS, 2013, 11 (11) : 2110 - 2113
  • [6] Convergence Analysis of Unscented Transform for Underwater Passive Target Tracking in Noisy Environment
    Ali, Wasiq
    Li, Yaan
    Tanoli, Shujaat Ali Khan
    Raja, Muhammad Asif Zahoor
    Javaid, Kashif
    Ahmed, Nauman
    [J]. CONFERENCE PROCEEDINGS OF 2019 IEEE INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING, COMMUNICATIONS AND COMPUTING (IEEE ICSPCC 2019), 2019,
  • [7] Multiple target tracking with symmetric measurement equations using unscented Kalman and particle filters
    Leven, WF
    Lanterman, AD
    [J]. PROCEEDINGS OF THE THIRTY-SIXTH SOUTHEASTERN SYMPOSIUM ON SYSTEM THEORY, 2004, : 195 - 199
  • [8] A Bank of Sequential Unscented Kalman Filters for Target Tracking in Range-only WSNs
    Yang, Xusheng
    Zhang, Wen-An
    Chen, Bo
    Yu, Li
    [J]. 2017 13TH IEEE INTERNATIONAL CONFERENCE ON CONTROL & AUTOMATION (ICCA), 2017, : 254 - 258
  • [9] Integrated Unscented Kalman filter for underwater passive target tracking with towed array measurements
    Kumar, D. V. A. N. Ravi
    Rao, S. Koteswara
    Raju, K. Padma
    [J]. OPTIK, 2016, 127 (05): : 2840 - 2847
  • [10] Unscented Kalman filter with application to bearings-only passive manoeuvring target tracking
    Rao, S. Koteswara
    Babu, V. Sunanda
    [J]. ICSCN 2008: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING COMMUNICATIONS AND NETWORKING, 2008, : 219 - 224