A UAV-assisted Wireless Localization Challenge on AERPAW
Paul Kudyba, Jaya Sravani Mandapaka, Weijie Wang, Logan McCorkendale,, Zachary McCorkendale, Mathias Kidane, Haijian Sun, Eric Adams, Kamesh, Namuduri, Fraida Fund, Mihail Sichitiu, Ozgur Ozdemir

TL;DR
This paper discusses the AERPAW platform and its inaugural challenge to localize wireless signals using aerial drones, demonstrating its potential for realistic wireless research validation.
Contribution
It introduces the AERPAW platform and details the first challenge, showcasing automated drone-based wireless localization in a large-scale testbed environment.
Findings
Successful localization of a wireless signal within 10 minutes
Automation of drone control for rapid signal detection
Validation of AERPAW as a realistic experimental platform
Abstract
As wireless researchers are tasked to enable wireless communication as infrastructure in more dynamic aerial settings, there is a growing need for large-scale experimental platforms that provide realistic, reproducible, and reliable experimental validation. To bridge the research-to-implementation gap, the Aerial Experimentation and Research Platform for Advanced Wireless (AERPAW) offers open-source tools, reference experiments, and hardware to facilitate and evaluate the development of wireless research in controlled digital twin environments and live testbed flights. The inaugural AERPAW Challenge, "Find a Rover," was issued to spark collaborative efforts and test the platform's capabilities. The task involved localizing a narrowband wireless signal, with teams given ten minutes to find the "rover" within a twenty-acre area. By engaging in this exercise, researchers can validate the…
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Taxonomy
TopicsIndoor and Outdoor Localization Technologies · UAV Applications and Optimization · Underwater Vehicles and Communication Systems
