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An Optimization Approach to Generate Robust Tradeoffs for the Configuration of Passive Sensor Fields Against Moving Targets

机译:生成针对运动目标的无源传感器场配置产生稳健权衡的优化方法

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The performance of a distributed sensor field that seeks to achieve surveillance coverage against moving targets is tied to many different constraints and competing objectives. Understanding these tradeoffs is paramount if such systems are to be efficiently designed and employed. When physically deploying the sensor field, the placement of sensors in specific patterns can tremendously alter the system's performance relative to these tradeoffs. Given a robust parameterization of the field configuration, the tradeoffs manifest themselves as boundaries in the space of achievable parameter combinations under the system's constraints. In this paper, we utilize a numerical Pareto optimization approach to derive explicit tradeoff surfaces for the problem of a cooperative network of passive sensor nodes, illustrating the tradeoff between improving field-level search performance and decreasing false searches. We conclude by discussing the impact of these results on the deployment of sensor fields.
机译:试图对移动目标进行监视覆盖的分布式传感器领域的性能与许多不同的约束条件和竞争目标息息相关。如果要有效地设计和使用此类系统,那么了解这些折衷是至关重要的。在物理上部署传感器领域时,相对于这些折衷,以特定模式放置传感器会极大地改变系统的性能。给定一个可靠的现场配置参数,在系统的约束下,折衷表现为可实现参数组合空间中的边界。在本文中,我们利用数值Pareto优化方法来得出无源传感器节点协作网络问题的显式权衡表面,从而说明了在提高场级搜索性能和减少虚假搜索之间的权衡。我们通过讨论这些结果对传感器领域部署的影响来得出结论。

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