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首页> 外文期刊>International Journal of Sensor Networks and Data Communications >Collaborative Signal and Information Processing for Target Detection with Heterogeneous Sensor Networks
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Collaborative Signal and Information Processing for Target Detection with Heterogeneous Sensor Networks

机译:异构传感器网络用于目标检测的协同信号和信息处理

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In this paper, an approach for target detection and acquisition with heterogeneous sensor networks through strategic resource allocation and coordination is presented. Based on sensor management and collaborative signal and information processing, low-capacity low-cost sensors are strategically deployed to guide and cue scarce highperformance sensors in the network to improve the data quality, with which the mission is eventually completed more efficiently with lower cost. We focus on the problem of designing such a network system in which issues of resource selection and allocation, system behavior and capacity, target behavior and patterns, the environment, and multiple constraints such as the cost must be addressed simultaneously. Simulation results offer significant insight into sensor selection and network operation, and demonstrate the great benefits introduced by guided search in an application of hunting down and capturing hostile vehicles on the battlefield.
机译:本文提出了一种通过战略资源分配和协调,利用异构传感器网络进行目标检测和获取的方法。基于传感器管理以及协同信号和信息处理的策略,低容量低成本传感器在战略上得到了部署,以指导和提示网络中稀缺的高性能传感器,从而改善了数据质量,从而最终以较低的成本更有效地完成了任务。我们关注于设计这样的网络系统的问题,其中必须同时解决资源选择和分配,系统行为和容量,目标行为和模式,环境以及多种约束(例如成本)的问题。仿真结果提供了对传感器选择和网络运行的重要见解,并展示了引导搜索在战场上搜寻和捕获敌对车辆的应用中所带来的巨大好处。

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