Doppler-bearing Passive Target Tracking Using a Parameterized Unscented Kalman Filter

被引：14
|
作者：
Rao, S. Koteswara [1 ]
机构：
[1] Naval Sci & Technol Lab, Simtrack Div, Visakhapatnam, Andhra Pradesh, India
来源：
IETE JOURNAL OF RESEARCH | 2010年 / 56卷 / 01期
关键词：
Kalman filter; Estimation theory; Sonar; Target tracking; MOTION ANALYSIS; ONLY TRACKING;
D O I：
10.4103/0377-2063.61267
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Target motion analysis (TMA) using conventional passive bearing together with frequency measurements is explored. This approach offers one tactical advantage over the classical bearings-only TMA. It makes the ownship maneuver superfluous. In this paper, TMA is carried out using an unscented Kalman filter (UKF). The inclusion of range, course, and speed parameterization is proposed in the UKF target state vector to obtain the convergence of the solution fast. Finally the results of one scenario in Monte-Carlo simulation are presented.
引用
收藏
页码：69 / 75
页数：7
相关论文
共 50 条
  • [1] Doppler and bearing tracking using fuzzy adaptive unscented Kalman filter
    Hashemi, S. H.
    Alfi, A. R.
    [J]. IRANIAN JOURNAL OF FUZZY SYSTEMS, 2019, 16 (04): : 97 - 114
  • [2] 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
  • [3] PASSIVE DOPPLER-BEARING TRACKING USING A PSEUDOLINEAR ESTIMATOR
    ROSENQVIST, PA
    [J]. IEEE JOURNAL OF OCEANIC ENGINEERING, 1995, 20 (02) : 114 - 118
  • [4] Underwater Doppler-bearing maneuvering target motion analysis based on joint estimated adaptive unscented Kalman filter
    Sun, Dajun
    Zhang, Yiao
    Teng, Tingting
    Gao, Linsen
    [J]. JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA, 2023, 154 (05): : 2843 - 2857
  • [5] Neural Extended/Unscented Kalman Filter for Submarine Passive Target Tracking
    Rao, S. Koteswara
    Lakshmi, M. Kavitha
    Ghosh, Ankur
    [J]. OCEANS 2022, 2022,
  • [6] Underwater Bearing-Only and Bearing-Doppler Target Tracking Based on Square Root Unscented Kalman Filter
    Li, Xiaohua
    Zhao, Chenxu
    Yu, Jing
    Wei, Wei
    [J]. ENTROPY, 2019, 21 (08)
  • [7] Adaptive Fading Memory Unscented Kalman Filter Algorithm for Passive Target Tracking
    Liu, Yucheng
    Liu, Yubin
    [J]. SENSOR LETTERS, 2013, 11 (11) : 2110 - 2113
  • [8] Unscented extended Kalman filter for target tracking
    Changyun Liu1
    2. Missile College of Air Force Engineering University
    [J]. Journal of Systems Engineering and Electronics, 2011, 22 (02) : 188 - 192
  • [9] Unscented extended Kalman filter for target tracking
    Liu, Changyun
    Shui, Penglang
    Li, Song
    [J]. JOURNAL OF SYSTEMS ENGINEERING AND ELECTRONICS, 2011, 22 (02) : 188 - 192
  • [10] Hybrid Unscented Kalman Filter with Rare features for Underwater Target tracking using Passive Sonar Measurements
    Kumar, D. V. A. N. Ravi
    [J]. OPTIK, 2021, 226
12345