Position Correction Using Echoes From a Navigation Fix for Synthetic Aperture Sonar Imaging

Shippey, Geoffrey; Jönsson, Mattias; Pihl, J.

doi:10.1109/joe.2009.2022578

Cited by 11 publications

(4 citation statements)

References 12 publications

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“…In a bold step forward, the Norwegian Defence group [58] have installed a side looking sonar built by Edgetech (Model 4400) that is SAS capable on their HUGIN 1000 AUV and with the Dutch group have shown some promising results [59]. Just over the border a Swedish group based at Chalmers University put together several experiments to test the along-track resolu-Proceedings of the Institute of Acoustics Gough et al: SAS History tion and path estimation and compensation algorithms [60][61][62][63][64]. Much of the work reported involved collaboration across agency and even national borders.…”

Section: The Presentmentioning

confidence: 99%

Synthetic Aperture Sonar: The Past, the Present and the Future

GOUGH,

HAYES

2023

Sonar Signal Processing 2004

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This presentation gives an overview of the state-of-the-art in side-looking acoustic imaging using synthetic aperture techniques. It starts with the development of aperture synthesis, gives the historical background of synthetic aperture sonar (SAS), and then describes the salient differences between that and its electromagnetic equivalent; synthetic aperture radar (SAR). This paper takes a broad view of how SAS developed and where these developments occurred. We look at the past (with close attention paid to the patent literature), the present, as well as to hazard some guesses as to the future.

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Section: The Presentmentioning

confidence: 99%

Synthetic Aperture Sonar: The Past, the Present and the Future

GOUGH,

HAYES

2023

Sonar Signal Processing 2004

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“…Many complementary PNT sensors have been analyzed and evaluated by the community, including light detection and ranging (LIDARs), radars, electro-optical/infra-red (EO/IR) cameras, barometers, magnetometers, and many others. [2][3][4][5][6][7][8] Each of these sensors has advantages as well as different phenomena which limit their operation. For example, optical sensors could be obstructed by cloud cover or weather, whereas radio frequency (RF) sensors can penetrate cloud cover.…”

Section: Introductionmentioning

confidence: 99%

The PNT operating system (pntOS): a plug-in approach for rapid development and prototyping

Raquet,

Kauffman,

Schofield

et al. 2023

Open Architecture/Open Business Model Net-Centric Systems and Defense Transformation 2023

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The development of modular open system architecture (MOSA) approaches for Positioning, Navigation and Timing (PNT) systems is a critical need. In this paper we present pntOS, an open architecture for building PNT estimators that integrates seamlessly with other open architectures targeting related problems. The pntOS MOSA is designed to allow isolated development of plugins for navigation filter algorithms, sensor integration strategies, integrity approaches, and network buses. Critically, a developer who is a domain expert in a particular field (e.g. radar signal processing) can write a plugin incorporating their field of knowledge into pntOS in isolation, without needing to understand any other part of pntOS. Once a set of plugins has been developed, any particular plugin can be easily swapped with another plugin, allowing for rapid trade-space analysis and reconfiguration of systems at minimal cost. The pntOS MOSA is designed to support integration into embedded real-time systems, post-processed analysis, and Monte-Carlo simulations.

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“…The quality of the navigation of the ranging sonar SLAM depends on its transducer quality, operating frequency, and altitude from the seafloor. For the imaging sonar SLAM, the type of sonar used includes a side-scan sonar (SSS) [55][56][57][58], forward-look sonar (FLS) [59], synthetic aperture sonar (SAS) [60,61], and mechanical scanned imaging sonar (MSIS) [62][63][64]. Unlike the ranging sonar SLAM, which yields 2.5-D bathymetric features (bathymetry elevation map), the image sonar SLAM produces a 2D imagery, and the performance of the former is much better than that of the latter [28,51].…”

Section: Introductionmentioning

confidence: 99%

A Novel Underwater Simultaneous Localization and Mapping Online Algorithm Based on Neural Network

Hou

Shao

Zou

et al. 2019

IJGI

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The navigation and localization of autonomous underwater vehicles (AUVs) in seawater are of the utmost importance for scientific research, petroleum engineering, search and rescue, and military missions concerning the special environment of seawater. However, there is still no general method for AUVs navigation and localization, especially in the featureless seabed. The reported approaches to solving AUVs navigation and localization problems employ an expensive inertial navigation system (INS), with cumulative errors and dead reckoning, and a high-cost long baseline (LBL) in a featureless subsea. In this study, a simultaneous localization and mapping (AMB-SLAM) online algorithm, based on acoustic and magnetic beacons, was proposed. The AMB-SLAM online algorithm is based on multiple randomly distributed beacons of low-frequency magnetic fields and a single fixed acoustic beacon for location and mapping. The experimental results show that the performance of the AMB-SLAM online algorithm has a high robustness. The proposed approach (the AMB-SLAM online algorithm) provides a low-complexity, low-cost, and high-precision online solution to the AUVs navigation and localization problem in featureless seawater environments. The AMB-SLAM online solution could enable AUVs to autonomously explore or autonomously intervene in featureless seawater environments, which would enable AUVs to accomplish fully autonomous survey missions.

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Position Correction Using Echoes From a Navigation Fix for Synthetic Aperture Sonar Imaging

Cited by 11 publications

References 12 publications

Synthetic Aperture Sonar: The Past, the Present and the Future

Synthetic Aperture Sonar: The Past, the Present and the Future

The PNT operating system (pntOS): a plug-in approach for rapid development and prototyping

A Novel Underwater Simultaneous Localization and Mapping Online Algorithm Based on Neural Network

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