Distributed and Reconfigurable Beamforming for Tar
at ORAU Workforce Solutions

Date Posted: 8/23/2019

Opportunity Description

Title of Research Opportunity: Distributed and Reconfigurable Beamforming for Targeted Communications Researching the control of antenna phase offsets in order to produce a coherent beamformer is the focus of this opportunity which is focused on how to enable the beamforming capability on networks of autonomous mobile agents. We see this problem as decomposing into two classes of problem: (1) making the discrete choice for an agent to participate as an element in a beamforming array and (2) controlling the mobility and phase of agents with respect to mission requirements and their role in an autonomous beamforming system. Deciding how to allocate agents to a beamforming array is essentially a resource allocation problem that is complicated by the presence of mixed objectives (e.g., autonomous agents may be supporting enhanced situational awareness in addition to beamforming-enabled communication). Fundamental to this problem is joint optimization and planning of communication with autonomy. While planning techniques can be employed for small teams, we will investigate how decentralized optimization-based techniques can be accelerated to rapidly react to shifting tasks when team size increases in scale. Furthermore, we will develop event-triggered techniques to minimize inter-agent communication while still effectively addressing mission requirements. The autonomous beamforming problem inherently requires control of node mobility in order to facilitate advantageous interference patterns. However, we anticipate that the application of traditional control will be plagued by uncertain or approximate models, e.g., the relationship between node locations, phase offsets, and beam characteristics developed in other research will inevitably be approximate and force the system to take conservative actions. We propose to adopt online data-driven learning techniques to update models within the context of a mission – bringing ideas from adaptive model-predictive control and motion planning to enable beamforming-enhanced communication links that are resilient to jamming and covert. Click here for more information

Opportunity Snapshot

  • Employee Type: Full-Time
  • Location: Adelphi, MD
  • Opportunity Type: Inventory
  • Experience: Not Specified
  • Date Posted: 8/23/2019

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Grooming future leaders in science and technology requires enhancing the skills, knowledge and experience of workers early in their careers. To that end, ORAU (Oak Ridge Associated Universities) assists in connecting the best and most diverse students, recent graduates, faculty and professionals with world-class fellowships, internships and jobs, whether in national laboratories, research institutions, federal government offices or private sector R&D departments.

ORAU works with agencies such as the U.S. Army Research Laboratory (ARL) Research Associateship Program (RAP) allow Postdoctoral Fellows, Journeyman Fellows (undergraduate and graduates students and recent graduates), Senior Researchers, and Summer Faculty engage in research initiatives of their own choice, that are compatible with the interests of the government and will potentially contribute to the general effort of the ARL. We work with the Environmental Protection Agency (EPA) to place recent graduates in full-time and part-time jobs in the Office of Research and Development at EPA under the National Student Services Contract. ORAU also works with Center for Medicare and Medicaid Innovation.

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