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首页> 外文学位 >Controlled mobility of unmanned aircraft chains to optimize network capacity in realistic communication environments.
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Controlled mobility of unmanned aircraft chains to optimize network capacity in realistic communication environments.

机译：无人驾驶飞机链的受控移动性，可在实际通信环境中优化网络容量。

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摘要

This dissertation presents a decentralized gradient-based mobility control algorithm for the formation and maintenance of an optimal end-to-end communication chain using a team of unmanned aircraft acting as communication relays. With the use of unmanned aircraft (UA) as communication relays, a common mode of operation is to form a communication relay chain between a lead exploring node (which may be ground based or another UA) and a control station. In this type of operation the lead node is typically deployed to explore (sense) a remote region of interest that is beyond direct radio frequency (RF) communication range, or out of line-of-sight, to the control station. To provide non-line-of-sight service, and extend the communication range of the lead node, unmanned aircraft acting as communication relays are deployed in a convoy fashion behind the lead vehicle to form a cascaded relay chain.;The focus of this work is the use of the mobility of a fixed number of relay aircraft to maximize the capacity of a directed communication chain from a source node to a destination node. Local objective functions are presented that use the signal-to-noise-and-interference ratio (SNIR) of neighbor communication links as inputs to maximize the end-to-end capacity of packet-based and repeater-type network chains. An adaptive gradient-based SNIR controller using the local objective function can show significant improvement in the capacity of the communication chain that is not possible with range-based controllers, or static deployment strategies, in RF environments containing unknown localized noise sources and terrain effects. Since the SNIR field is unknown, an online estimate of the SNIR field gradient is formed using methods of Stochastic Approximation from the orbital motion of the aircraft tracking a control point.;Flight demonstrations using the Networked Unmanned Aircraft System Command, Control and Communications testbed were conducted to validate the controller presented herein. Results from flight experiments show that mobility of unmanned aircraft, following locally estimated SNIR gradients, can be used to form a locally optimized communication chain by driving the aircraft to locations that improve the end-to-end capacity of the chain over that of a range-based controller or a static deployment algorithm.
机译：本文提出了一种基于分散梯度的移动性控制算法，该算法使用一组无人飞机作为通信中继来形成和维护最佳的端到端通信链。通过将无人飞行器（UA）用作通信中继，一种常见的操作模式是在线索探索节点（可能是基于地面的UA或另一个UA）和控制站之间形成通信中继链。在这种类型的操作中，通常将引导节点部署为探索（感知）超出直接射频（RF）通信范围或视线之外的到控制站的感兴趣的远程区域。为了提供非视线服务并扩大牵头节点的通信范围，在牵头车辆后方以护卫队的形式部署了无人驾驶飞机作为通信中继，以形成级联中继链。使用固定数量的中继飞机的移动性来最大化从源节点到目标节点的定向通信链的容量。提出了局部目标函数，该函数使用邻居通信链路的信噪比（SNIR）作为输入，以最大化基于分组和中继器类型的网络链的端到端容量。使用局部目标函数的基于自适应梯度的SNIR控制器可以显着改善通信链的容量，这在包含未知局部噪声源和地形影响的RF环境中，使用基于距离的控制器或静态部署策略无法实现。由于SNIR场是未知的，因此使用随机近似方法从跟踪控制点的飞机的轨道运动中形成SNIR场梯度的在线估计。使用网络化无人飞机系统指挥，控制和通信试验台进行飞行演示进行验证此处介绍的控制器。飞行实验的结果表明，按照当地估计的SNIR梯度，无人驾驶飞机的机动性可用于通过将飞机驾驶到可在一定范围内提高链的端到端容量的位置来形成本地优化的通信链的控制器或静态部署算法。

著录项

  • 作者

    Dixon, Cory.;

  • 作者单位

    University of Colorado at Boulder.;

  • 授予单位 University of Colorado at Boulder.;
  • 学科 Engineering Aerospace.
  • 学位 Ph.D.
  • 年度 2010
  • 页码 187 p.
  • 总页数 187
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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