Prediction of Passive Sonar Detection Range in Different Detection Probability

Guo, Yinghua; Ai, Ruifeng; Chen, Ying‐Chun; Qi, Yue

doi:10.1109/icsai.2018.8599352

Cited by 7 publications

(2 citation statements)

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“…Coverage rate P c and coverage requirements ξ P , ζ T are used to evaluate both algorithms. P c can be calculated by Equation (14), which represents the detection coverage of the area after a fixed glide P period. ξ P is the number of periods required to glide when the same coverage is required, and ζ T is the time required to glide when the same coverage is required.…”

Section: Comparison and Analysismentioning

confidence: 99%

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Multi-Underwater Gliders Coverage Path Planning Based on Ant Colony Optimization

Peng

2022

Electronics

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Underwater gliders (UGs) are widely applied to regional exploration to find potential targets. However, the complex marine environment and special movement patterns make it difficult to plan their coverage path. In this paper, a novel multi-underwater gliders coverage path planning algorithm based on ant colony optimization (MGCPP-ACO) is proposed. First, according to the detection radius of the sonar and the motion process of the UGs, we establish a detection coverage model. Then, considering the motion constraints of the UGs and optimization objectives, we redesign the feasible region, transition probability, pheromone update rule and heuristic function of the ACO algorithm. Finally, we carry out three groups of experiments. The simulation results show that the MGCPP-ACO can cover almost the entire sea area and adapt to different initial positions and heading angles. In addition, compared with the traditional scan-line (SCAN) algorithm, the MGCPP-ACO has a higher coverage efficiency and lower coverage cost.

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Section: Comparison and Analysismentioning

confidence: 99%

“…However, in the ocean environment, the situation is more complicated. Seawater temperature, salinity, depth, and seabed topography will significantly affect the detection ability of sonar [13,14]. Detection performance tends to vary at different locations in the region, so it is challenging to plan the waypoints in advance.…”

Section: Introductionmentioning

confidence: 99%