Adaptive phase estimation filter in long range synthetic aperture sonar interferometry

被引:1
|
作者
Saebo, Torstein Olsmo [1 ]
Hansen, Roy Edgar [1 ,2 ]
机构
[1] Norwegian Def Res Estab FFI, Kjeller, Norway
[2] Univ Oslo, Dept Informat, Oslo, Norway
关键词
array signal processing; sonar imaging; synthetic aperture radar;
D O I
10.1049/ell2.12819
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
Synthetic aperture sonar (SAS) interferometry is a technique for very high resolution imaging and mapping of the seabed. In SAS interferometry, the seabed depth estimation performance is a function of the system, the geometry, the signal-to-noise ratio (SNR) and the filter size, equivalent to the achieved horizontal resolution. A strong driver for SNR is the imaging range and grazing angle. The variation of these parameters over a typical SAS swath gives rise to a large variation in the depth estimation performance. To mitigate the negative effect of this, we suggest to use an adaptive phase estimation filter size, such that the standard deviation of the depth estimate is proportional to the horizontal resolution. We demonstrate the suggested adaptive filter size method on long range data collected using a HUGIN Superior autonomous underwater vehicle (AUV) equipped with a HISAS 1032 Dual receiver interferometric SAS. Our technique increases the valid area coverage when the SNR is marginal, at the expense of reduced horizontal resolution.
引用
收藏
页数:4
相关论文
共 50 条
  • [1] Phase ambiguities in Synthetic Aperture Sonar Interferometry
    Saebo, Torstein Olsmo
    Hansen, Roy Edgar
    Synnes, Stig Asle Vaksvik
    [J]. 2022 OCEANS HAMPTON ROADS, 2022,
  • [2] Optimising collection geometry for long-range synthetic aperture sonar interferometry
    Hansen, Roy Edgar
    Saebo, Torstein Olsmo
    [J]. IET RADAR SONAR AND NAVIGATION, 2024,
  • [3] Wideband Interferometry in Synthetic Aperture Sonar
    Saebo, Torstein Olsmo
    Synnes, Stig Asle Vaksvik
    Hansen, Roy Edgar
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2013, 51 (08): : 4450 - 4459
  • [4] Long range active synthetic aperture sonar results
    Chang, E
    Marx, DS
    Nelson, MA
    Gillespie, WD
    Putney, A
    Warman, LK
    Chatham, RE
    Barrett, BN
    [J]. OCEANS 2000 MTS/IEEE - WHERE MARINE SCIENCE AND TECHNOLOGY MEET, VOLS 1-3, CONFERENCE PROCEEDINGS, 2000, : 1 - 5
  • [5] Synthetic aperture sonar movement stimation - The adaptive Kalman filter approach
    Huang, Y
    Xu, J
    Zhang, C
    [J]. PROCEEDINGS OF 2003 INTERNATIONAL CONFERENCE ON NEURAL NETWORKS & SIGNAL PROCESSING, PROCEEDINGS, VOLS 1 AND 2, 2003, : 830 - 833
  • [6] Synthetic aperture sonar movement estimation using the robust Kalman filter
    Zhu, Pei-Sheng
    Huang, Yong
    Zhang, Chun-Hua
    [J]. Xi'an Dianzi Keji Daxue Xuebao/Journal of Xidian University, 2007, 34 (03): : 490 - 494
  • [7] Fusion Digital Terrain Models for Synthetic Aperture Sonar Interferometry
    Lorentzen, Ole J.
    Hansen, Roy E.
    [J]. OCEANS 2019 MTS/IEEE SEATTLE, 2019,
  • [8] Motion Estimation for Synthetic Aperture Sonar using Redundant Phase Center Interferograms
    Prater, James
    Emigh, Matthew
    Bryner, Darshan
    [J]. 13TH EUROPEAN CONFERENCE ON SYNTHETIC APERTURE RADAR, EUSAR 2021, 2021, : 259 - 262
  • [9] Directionally Adaptive Filter for Synthetic Aperture Radar Interferometric Phase Images
    Fu, Sihua
    Long, Xuejun
    Yang, Xia
    Yu, Qifeng
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2013, 51 (01): : 552 - 559
  • [10] Synthetic Aperture Sonar Image Despeckling The Joint Use of an Auto-Adaptive Mean Filter and the Stochastic Matched Filter
    Courmontagne, Philippe
    [J]. SEA TECHNOLOGY, 2008, 49 (12) : 41 - +