Advanced sonar technologies for autonomous mine countermeasures

Sternlicht, Daniel D.; Fernandez, Jose E.; Holtzapple, Richard; Kucik, Daniel P.; Montgomery, Thomas C.; Loeffler, Charles M.

doi:10.23919/oceans.2011.6107149

Cited by 8 publications

(6 citation statements)

References 1 publication

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“…1. The Naval Postgraduate School's SeaFox USV and REMUS 100 AUV conducted in a sequence of phases, each performed by various types of vehicles and sensors [6]. Presently, these assets require dedicated support from manned platforms, but a current thrust of naval research is aimed at enabling autonomous systems to support other unmanned vehicles during MCM operations [7].…”

Section: Sonar Detection Modelsmentioning

confidence: 99%

“…2) can be computed from a nominal design specification. This type of sonar is used to perform wide-area mine detection during the first phase of mine countermeasures (MCM) operations [6]. Following the design example for a mine-hunting sonar in [15], we can, for example, specify a 200 kHz sonar with 120-degree horizontal field of view, 5-degree vertical field of view, and nominal operating range of 400 meters [21].…”

Section: A Forward Looking Sonarmentioning

confidence: 99%

“…This type of sensor is representative of high-resolution sonar used to reacquire previously-detected MLOs and identify them for subsequent neutralization [6]. Following the design example for a sidescan sonar in [15], and using manufacturer specifications for a 900kHz sidescan sonar [16], we can compute a FOM for this sensor as well.…”

Section: B Sidescan Sonarmentioning

confidence: 99%

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Sensor-based motion planning for autonomous vehicle teams

Kragelund

Walton

Kaminer

2016

OCEANS 2016 MTS/IEEE Monterey

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Abstract-This paper employs a computational optimal control framework to develop a mission planning tool for a team of heterogeneous unmanned vehicles conducting a nominal mine countermeasures (MCM) mission. We first describe our motivation for developing vehicle-specific sensor models for unmanned surface and underwater vehicles working collaboratively to detect mines. Next, we describe the sonar detection models used to evaluate the performance of a long-range, forward-looking detection sonar and a high-resolution sidescan sonar deployed from these unmanned vehicles. Results from multiple computer simulations which highlight the flexibility and utility of this solution framework are presented.

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Section: Sonar Detection Modelsmentioning

confidence: 99%

Section: A Forward Looking Sonarmentioning

confidence: 99%

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Sensor-based motion planning for autonomous vehicle teams

Kragelund

Walton

Kaminer

2016

OCEANS 2016 MTS/IEEE Monterey

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“…Then the feature covariance was computed, and the object was classified using a log-likelihood test as either mine-like or not. The schematic process of the multi-sensor data fusion is illustrated in Fig 5. Combining BOSS with an electromagnetic gradiometer and electro-optic imager had the ability to successfully recognise man-made objects, including underwater pipelines (Sternlicht et al, 2011).…”

Section: Developments In Underwater Unexploded Ordnancementioning

confidence: 99%

Developments in subsea power and telecommunication cables detection: Part 2 – Electromagnetic detection

Szyrowski¹,

Sharma²,

Sutton³

et al. 2013

uw tech: int j soc uw tech

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The detection and maintenance of power and telecommunication subsea cables are often difficult and dangerous. Globally, engineers have approached such tasks using different methods. Although the subject is of great importance, there is no single universally accepted method or even agreement about existing methods. This review focuses on electromagnetic detection as a widely used technique for detection of buried cables.The paper reviews practical methods used in electromagnetic detection of subsea cables and ferromagnetic objects. It begins describing the use of simple searching coils carried by a diver and concludes with techniques that implement magnetometers on autonomous survey platforms.The methods used in electromagnetic subsea cable detection are often based on simple and established technologies. Despite this, detection of general ferromagnetic objects in the subsea environment is an active area of research. This review also describes developments in underwater unexploded ordnance detection, which can be technologically transferred to the detection of power and telecommunication cables.

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“…In practice, the echo response is corrupted by background reverberation, which can adversely affect this capability. This is a problem for low-frequency sediment-penetrating sonars, e.g., the Netherlands Organisation for Applied Scientific Research (TNO) MUD, 3 SSAM, 4 and BOSS 5 systems, where the seafloor sediment and/or multipath reverberation can be strong while useful features of the echo response can be comparatively weak.…”

Section: Introductionmentioning

confidence: 99%

Sonar target enhancement by shrinkage of incoherent wavelet coefficients

Hunter

Vossen

2014

The Journal of the Acoustical Society of America

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Background reverberation can obscure useful features of the target echo response in broadband low-frequency sonar images, adversely affecting detection and classification performance. This paper describes a resolution and phase-preserving means of separating the target response from the background reverberation noise using a coherence-based wavelet shrinkage method proposed recently for de-noising magnetic resonance images. The algorithm weights the image wavelet coefficients in proportion to their coherence between different looks under the assumption that the target response is more coherent than the background. The algorithm is demonstrated successfully on experimental synthetic aperture sonar data from a broadband low-frequency sonar developed for buried object detection.

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Advanced sonar technologies for autonomous mine countermeasures

Cited by 8 publications

References 1 publication

Sensor-based motion planning for autonomous vehicle teams

Sensor-based motion planning for autonomous vehicle teams

Developments in subsea power and telecommunication cables detection: Part 2 – Electromagnetic detection

Sonar target enhancement by shrinkage of incoherent wavelet coefficients

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