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Optimizing source and receiver placement in multistatic sonar networks to monitor fixed targets

机译:优化多晶石网络中的源和接收器放置,以监控固定目标

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Multistatic sonar networks consisting of non-collocated sources and receivers are a promising development in sonar systems, but they present distinct mathematical challenges compared to the monostatic case in which each source is collocated with a receiver. This paper is the first to consider the optimal placement of both sources and receivers to monitor a given set of target locations. Prior publications have only considered optimal placement of one type of sensor, given a fixed placement of the other type. We first develop two integer linear programs capable of optimally placing both sources and receivers within a discrete set of locations. Although these models are capable of placing both sources and receivers to any degree of optimality desired by the user, their computation times may be unacceptably long for some applications. To address this issue, we then develop a two-step heuristic process, Adapt-LOC, that quickly selects positions for both sources and receivers, but with no guarantee of optimality. Based on this, we also create an iterative approach, Iter-LOC, which leads to a locally optimal placement of both sources and receivers, at the cost of larger computation times relative to Adapt-LOC. Finally, we perform computational experiments demonstrating that the newly developed algorithms constitute a powerful portfolio of tools, enabling the user to slect an appropriate level of solution quality, given the available time to perform computations. Our experiments include three real-world case studies. Published by Elsevier B.V.
机译:由非并置的来源和接收器组成的多晶声车网络是声纳系统的有希望的发展,但与每个源与接收器均匀的单体情况相比,它们存在不同的数学挑战。本文是第一个考虑源和接收器的最佳放置,以监视给定的一组目标位置。鉴于其他类型的固定放置,现有的出版物仅考虑了一种类型的传感器的最佳放置。我们首先开发两个能够在离散的位置集中最佳地将两个源和接收器放置的整数线性程序。尽管这些模型能够将源和接收器置于用户所需的任何程度上,但是对于某些应用,它们的计算时间可能是不可接受的。为了解决这个问题,我们开发了两步启发式过程,适应-COC,可以快速为源和接收器选择位置,但无法保证最佳。基于此,我们还创建了一种迭代方法ITER-LOC,它导致源和接收器的局部最佳放置,以相对于Adapt-Loc的较大计算时间的成本。最后,我们执行计算实验,证明新开发的算法构成了强大的工具组合,使用户能够为执行计算提供适当的解决方案质量水平。我们的实验包括三个真实的案例研究。由elsevier b.v出版。

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