Echosounder depth tracking with the extended Kalman filter

被引:0
|
作者
Ellis, Tim [1 ]
McNames, James [1 ]
Zurk, Lisa [1 ]
Lotz, Jose [1 ]
Ecochard, Jean-Louis [2 ]
机构
[1] Portland State Univ, Portland, OR 97207 USA
[2] Nature Conservancy, Arlington, VA USA
来源
关键词
D O I
暂无
中图分类号
U6 [水路运输]; P75 [海洋工程];
学科分类号
0814 ; 081505 ; 0824 ; 082401 ;
摘要
Recent degradation of coral reef habitats and the resulting loss in marine biodiversity has created an urgent need for improved characterization and monitoring including seafloor surveys. Most modern systems use sophisticated multibeam sonar and are prohibitively expensive to deploy. As part of a joint effort with The Nature Conservancy we have developed an inexpensive system for coral reef bathymetry estimation using inexpensive single-beam echosounders designed for fish finding. The depth tracking algorithms in these units are not well suited to coral reef habitats which often contain jagged structures and steep seafloor slopes. We propose to use a state-space model of the seafloor backscattering and track the depth with the extended Kalman filter. The initial results suggest that this approach produces better estimates of the depth, is intuitive to tune, has natural method of identifying and diagnosing problems, and provides a measure of confidence in the depth estimates.
引用
收藏
页码:643 / +
页数:3
相关论文
共 50 条
  • [1] EXTENDED KALMAN FILTER FOR EXTENDED OBJECT TRACKING
    Yang, Shishan
    Baum, Marcus
    [J]. 2017 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), 2017, : 4386 - 4390
  • [2] Extended Kalman Filter for Ship Tracking
    Sun, Baoquan
    Yan, Bing
    Zhang, JiaWei
    [J]. PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON COMPUTER ENGINEERING, INFORMATION SCIENCE & APPLICATION TECHNOLOGY (ICCIA 2017), 2017, 74 : 599 - 603
  • [3] An extended Kalman filter for mouse tracking
    Choi, Hongjun
    Kim, Mingi
    Lee, Onseok
    [J]. MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING, 2018, 56 (11) : 2109 - 2123
  • [4] An extended Kalman filter for mouse tracking
    Hongjun Choi
    Mingi Kim
    Onseok Lee
    [J]. Medical & Biological Engineering & Computing, 2018, 56 : 2109 - 2123
  • [5] A Local Extended Kalman Filter for Visual Tracking
    Ndiour, Ibrahima J.
    Vela, Patricio A.
    [J]. 49TH IEEE CONFERENCE ON DECISION AND CONTROL (CDC), 2010, : 2498 - 2504
  • [6] 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
  • [7] A constrained Extended Kalman Filter for target tracking
    Nordsjo, AE
    [J]. PROCEEDINGS OF THE IEEE 2004 RADAR CONFERENCE, 2004, : 123 - 127
  • [8] 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
  • [9] Evaluation of Unscented Kalman Filter and Extended Kalman filter for Radar Tracking Data Filtering
    Shen, Jihong
    Liu, Yanan
    Wang, Sese
    Sun, Zhuo
    [J]. UKSIM-AMSS EIGHTH EUROPEAN MODELLING SYMPOSIUM ON COMPUTER MODELLING AND SIMULATION (EMS 2014), 2014, : 190 - 194
  • [10] An Adaptive Iterated Extended Kalman Filter for Target Tracking
    Yan, Chunman
    Dong, Junsong
    Lu, Genyuan
    Zhang, Daoliang
    Chen, Manli
    Cheng, Liang
    [J]. INTELLIGENCE SCIENCE AND BIG DATA ENGINEERING, 2018, 11266 : 371 - 377