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AERPAW
  • Overview
    • About
    • Deployment Areas
    • Equipment
    • AERPAW Usage Fees
    • Our Team
    • FAQ
    • Sponsors
    • Inquiry Form
  • User Manual
  • Experiment Web Portal
  • Experiments
    • Experiment Overview
    • Datasets
    • Publications
    • AERPAW In Education
    • Office Hours
  • Updates
    • User Stories
    • Monthly Webinars
    • Monthly Updates
    • In the News
  • Workshops
    • AERPAW Community Workshop 2025
      • Call for Participation
      • Registration
      • Venue
      • Accomodation
      • Transportation
      • Schedule
      • Panels
      • Poster Session
      • Lightning Talks
      • Organizers
      • ACW25 Photos
    • AERPAW Community Workshop 2023
    • AERPAW Fall 2021 Event
  • Competitions
    • AERPAW Autonomous UAV Student Challenge #2
    • AERPAW AFAR Challenge
  • AERPAW Open Testing and Integration Center (OTIC)
AERPAW

Publication Type Thesis/Dissertation

UAV Detection and Classification Using Radar, Radio Frequency and Machine Learning Techniques

  • AC
  • July 13, 2026
  • Dataset-2

Signal Fingerprinting and Machine Learning Framework for UAV Detection and Identification

  • AC
  • July 13, 2026

Protected Region Radio Map Estimation

  • AC
  • July 13, 2026

Rapid autonomous narrow-band wireless localization via Gaussian process and Bayesian optimization

  • AC
  • July 13, 2026

Ray Tracing-Based MIMO Link Analysis and Performance Evaluation of Asymmetric Links for UAV Networks

  • AC
  • July 13, 2026

Improving Wireless Spectrum Utilization: Hybrid VLC-RF Networks and Sub-6 GHz Aerial Spectrum Measurements, Analysis, and Datasets

  • AC
  • July 13, 2026

AERPAW: Aerial Experimentation and Research Platform for Advanced Wireless

AERPAW is part of the National Science Foundation’s PAWR program, and is funded in part by NSF award CNS-1939334, and by the PAWR Industry Consortium.

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