Considering Mine Countermeasures Exploratory Operations Conducted by Autonomous Underwater Vehicles

Nguyen, Bao; Hopkin, David; Yip, Handson

doi:10.1002/9781118918937.ch4

Cited by 2 publications

(8 citation statements)

References 5 publications

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“…From Nguyen and Hopkin, 13,14 we confirmed that by choosing the appropriate characteristic of the search patterns, such as the spacing between two consecutive parallel tracks, we can set the SLRDP to be greater than or equal to P ≥ 0:9; and the following discussion assumes this condition.…”

Section: Discussionmentioning

confidence: 72%

“…Koopman's law of random search tactic could be modified to simulate the random looks. 13 The worst tactic for search and detection was found in the scenario of same look observations at the same aspect angle. An implementation of this tactic would be carried out by repeating a same search pattern, such as the parallel tracks, multiple times.…”

Section: Discussionmentioning

confidence: 99%

“…It was found [11][12][13][14] that, for n looks, the optimal search strategies correspond to μ i = i · μ with i = 0, . .…”

Section: Problem Statementmentioning

confidence: 99%

“…In a series of publications considering mine detection operations tactics, Nguyen and others [11][12][13][14] examined different strategies' effectiveness at detecting symmetrical targets. In these studies, it is demonstrated that multiple looks improve the probability of detecting a symmetrical target, and that the angle between looks are equally spaced in the globally optimal strategy incorporating multiple looks.…”

Section: Introductionmentioning

confidence: 99%

“…Search strategies associated with critical look angles have already been identified by Nguyen and others. [11][12][13][14] These look angles affect the overall probability of detecting a target that is observed at several angles. 12 For example, a simple lawn mowing search pattern-a nonrepeating pattern that only moves in straight lines-could represent a search strategy with one look.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Modeling the expected detection probability for mine countermeasure operations based on cross-section and multiple looks

Nguyen¹,

Mirshak²

2016

Journal of Defense Modeling & Simulation

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We present a methodology to determine the expected probability of detection of a target based on multiple looks or angles: tactics and cross-sections. While previous studies confirm that the general probability of detection improves significantly with the number of looks, our findings demonstrate that this value can vary substantially depending on search and detection tactics, as well as the target's cross-section. We argue that the angular dependence of the detection process is often overlooked for search and detection missions, but that this can be elegantly accounted for when assuming symmetrical targets. Consequently, we investigate three tactics where each look is independent: first, a globally optimal tactic where all look angles are equally spaced; second, a tactic which distributes the look angles randomly; and third, a tactic which imposes the same angle for all look angles. We are also able to use the first tactic to extract the guaranteed best angle of the broad side of a target, and additionally for each tactic we propose an example of a corresponding search pattern. We hope that our findings in this paper increase awareness within the search and detection community of the phenomenologies of multiple looks, and that our presented methodology can be incorporated into the mine search and detection tactics.

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Section: Discussionmentioning

confidence: 72%

Section: Discussionmentioning

confidence: 99%

“…It was found [11][12][13][14] that, for n looks, the optimal search strategies correspond to μ i = i · μ with i = 0, . .…”

Section: Problem Statementmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Modeling the expected detection probability for mine countermeasure operations based on cross-section and multiple looks

Nguyen¹,

Mirshak²

2016

Journal of Defense Modeling & Simulation

Self Cite

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An analytical and probabilistic model with concordance for detecting mine-like objects with mirror symmetry

Nguyen

2021

JDAL

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PurposeThe purpose is to develop search and detection strategies that maximize the probability of detection of mine-like objects.Design/methodology/approachThe author have developed a methodology that incorporates variational calculus, number theory and algebra to derive a globally optimal strategy that maximizes the expected probability of detection.FindingsThe author found a set of look angles that globally maximize the probability of detection for a general class of mirror symmetric targets.Research limitations/implicationsThe optimal strategies only maximize the probability of detection and not the probability of identification.Practical implicationsIn the context of a search and detection operation, there is only a limited time to find the target before life is lost; hence, improving the chance of detection will in real terms be translated into the difference between success or failure, life or death. This rich field of study can be applied to mine countermeasure operations to make sure that the areas of operations are free of mines so that naval operations can be conducted safely.Originality/valueThere are two novel elements in this paper. First, the author determine the set of globally optimal look angles that maximize the probability of detection. Second, the author introduce the phenomenon of concordance between sensor images.

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Considering Mine Countermeasures Exploratory Operations Conducted by Autonomous Underwater Vehicles

Cited by 2 publications

References 5 publications

Modeling the expected detection probability for mine countermeasure operations based on cross-section and multiple looks

Modeling the expected detection probability for mine countermeasure operations based on cross-section and multiple looks

An analytical and probabilistic model with concordance for detecting mine-like objects with mirror symmetry

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