Bistatic synthetic aperture imaging of proud and buried targets from an AUV

被引:21
|
作者
LePage, KD [1 ]
Schmidt, H
机构
[1] SACLANT Undersea Res Ctr, I-19138 La Spezia, Italy
[2] Ocean Engn, Cambridge, MA 02139 USA
关键词
buried object detection; multistatic scattering; synthetic aperture sonar; underwater vehicles;
D O I
10.1109/JOE.2002.1040931
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
The use of autonomous underwater vehicles (AUVs) for the detection of buried mines is an area of current interest to the Mine CounterMeasures (MCM) community. AUVs offer the advantages of lower cost, stealth, reduced operator risk, and potentially improved coverage rates over more traditional mine hunters. However, AUVs also come with their own set of difficulties, including significant error in navigation and low communication rates with the mother platform and each other. In the case of bistatic detection scenarios, AUVs will therefore have difficulty knowing where exactly in space they are and the trigger time of sources on other platforms, be they ships or other AUVs. However, the potential improvement in detection and coverage rates offered by bistatic sonar concepts makes resolution of these issues a high priority. In this paper, the problems of inaccurate navigation and source timing information are addressed for the Generic Oceanographic Array Technology data set. In this experiment, conducted off Marciana Marina during June 1998, a MIT AUV with a SACLANTCEN acoustic array and acquisition system was used together with a TOPAS parametric sonar to explore issues of buried target detection using AUVs. In this paper, solutions to the navigation and timing problems are proposed which enable the effective use of bistatic synthetic aperture sonar (SAS) concepts for the detection of buried objects in the mid-frequency regime of 2-20 kHz.
引用
收藏
页码:471 / 483
页数:13
相关论文
共 50 条
  • [31] On bistatic inverse synthetic aperture radar
    Martorella, Marco
    Palmer, James
    Homer, John
    Littleton, Brad
    Longstaff, Dennis
    IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 2007, 43 (03) : 1125 - 1134
  • [32] Inverse synthetic aperture radar imaging of maneuvering targets
    Bao, Z
    Wang, GY
    Luo, L
    OPTICAL ENGINEERING, 1998, 37 (05) : 1582 - 1588
  • [33] Imaging of moving targets using synthetic aperture radar
    DiPietro, R
    Fante, R
    Perry, R
    IEEE ANTENNAS AND PROPAGATION SOCIETY INTERNATIONAL SYMPOSIUM 1997, VOLS 1-4, 1997, : 2590 - 2590
  • [34] Synthetic Aperture Sonar Imaging of Simple Finite Targets
    Kargl, Steven G.
    Williams, Kevin L.
    Thorsos, Eric I.
    IEEE JOURNAL OF OCEANIC ENGINEERING, 2012, 37 (03) : 516 - 532
  • [35] Synthetic aperture imaging of surface laid targets by sound
    Vignola, Joseph F.
    Judge, John A.
    Good, Chelsea E.
    Bishop, Steven S.
    Gugino, Peter M.
    Soumekh, Mehrdad
    Sensing and Imaging, 2012, 13 (02): : 55 - 65
  • [36] Detection of buried targets under limited number of scans with a synthetic aperture radar
    Uematsu, Akihisa
    Nishibori, Toshiyuki
    2021 INTERNATIONAL SYMPOSIUM ON ANTENNAS AND PROPAGATION (ISAP), 2021,
  • [37] Detection of buried targets under limited number of scans with a synthetic aperture radar
    Uematsu, Akihisa
    Nishibori, Toshiyuki
    2021 International Symposium on Antennas and Propagation, ISAP 2021, 2021,
  • [38] EXPERIMENT AND SIMULATION OF BURIED TARGETS IN THE VICINITY OF OBJECTS ON THE GROUND WITH A SYNTHETIC APERTURE RADAR
    Uematsu, Akihisa
    Nishibori, Toshiyuki
    2022 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2022), 2022, : 1676 - 1679
  • [39] Bistatic Forward Scattering Inverse Synthetic Aperture Radar Parameter Estimation and Imaging
    Lazarov, Andon
    Kabakchiev, Hristo
    Kostadinov, Todor
    Zia, Syeeda Sadia
    2013 14TH INTERNATIONAL RADAR SYMPOSIUM (IRS), VOLS 1 AND 2, 2013, : 473 - 478
  • [40] An Autofocus Imaging Method of One-Stationary Bistatic Synthetic Aperture Radar
    Chen, Leping
    An, Daoxiang
    Huang, Xiaotao
    CONFERENCE PROCEEDINGS OF 2019 IEEE INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING, COMMUNICATIONS AND COMPUTING (IEEE ICSPCC 2019), 2019,