ITR - (NHS+ASE) - (dmc+int): Distributed Communications and Control for Multiple Miniature Unmanned Air Vehicles

ITR - (NHS ASE) - (dmc int)：多微型无人机的分布式通信和控制

• 批准号: 0428004
• 负责人: Randal Beard
• 金额: --
• 依托单位: Brigham Young University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-09-01 至 2010-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0428004&HistoricalAwards=false
• 关键词: ITR; NHS+ASE; dmc+int; Distributed; Communications

Unmanned air vehicles (UAVs) are playing increasingly prominent roles in the nation's defense programs and strategy. There are innumerable uses for such devices in not only military, but civilian, commerical and homeland security applications such as surveillance and reconnaissance, rapid deployment of communication networks, border patrol, sensing hazardous environments, search and rescue, precision agriculture, etc. The focus of this research is on the use of multiple miniature UAVs (MUAVs) for these applications rather than their larger military counterparts such as Predator and Global Hawk. MUAVs have a number of significant advantages over larger platforms, such as their difficulty in being detected or tracked, their ability to more easily avoid threats, to fly at low altitudes and collect more localized data, to be launched without special equipment or a runway, and to spread out and provide a wide ``aperture'' for performing tasks such as geolocation or providing communications links.The benefits of MUAVs do not come without cost, however. There are a number of difficult challenges that must be overcome before their potential can be realized. These challenges include the following: How can a distributed group of MUAVs cooperate and communicate given their constraints on size, power and motion, and in the presence of interference? How are discrepancies in their individual data sets accounted for so that consensus on strategy can be reached? Their mobility is both a blessing and a curse; can the ever-changing shape of an array of MUAV platforms be adequately tracked or maintained for high-resolution localization or imaging tasks? This research effort is devoted to answering questions such as those above.

无人机（UAV）在国家国防计划和战略中发挥着越来越重要的作用。 此类设备不仅在军事领域，而且在民用、商业和国土安全应用中都有无数用途，例如监视和侦察、通信网络的快速部署、边境巡逻、感知危险环境、搜索和救援、精准农业等。本研究的重点是在这些应用中使用多个微型无人机 (MUAV)，而不是 Predator 和 Global 等大型军事同类设备。 鹰。与大型平台相比，MUAV 具有许多显着优势，例如难以被检测或跟踪、能够更轻松地避开威胁、低空飞行并收集更多本地化数据、无需特殊设备或跑道即可发射，以及展开并为执行地理定位或提供通信链路等任务提供广阔的“范围”。然而，MUAV 的好处并非没有代价。 在发挥其潜力之前，必须克服许多困难的挑战。 这些挑战包括：考虑到尺寸、功率和运动的限制以及存在干扰的情况下，分布式 MUAV 组如何进行合作和通信？ 如何解释各自数据集的差异，以便就战略达成共识？ 他们的流动性既是福也是祸。能否充分跟踪或维护一系列 MUAV 平台不断变化的形状，以执行高分辨率定位或成像任务？ 这项研究工作致力于回答上述问题。