Cooperative Localisation of a GPS-Denied UAV using Direction of Arrival Measurements
James S. Russell, Mengbin Ye, Brian D.O. Anderson, Hatem Hmam, Peter, Sarunic

TL;DR
This paper presents a method for localizing a GPS-denied UAV by using direction of arrival measurements from a nearby GPS-equipped UAV, employing semidefinite programming and alignment algorithms validated through flight data and simulations.
Contribution
It introduces a novel localization approach combining DOA measurements with optimization techniques for GPS-denied UAVs, including a three-agent extension.
Findings
High localization accuracy demonstrated in flight tests
Effective use of semidefinite programming and Procrustes alignment
Extension to multi-agent scenarios explored
Abstract
A GPS-denied UAV (Agent B) is localised through INS alignment with the aid of a nearby GPS-equipped UAV (Agent A), which broadcasts its position at several time instants. Agent B measures the signals' direction of arrival with respect to Agent B's inertial navigation frame. Semidefinite programming and the Orthogonal Procrustes algorithm are employed, and accuracy is improved through maximum likelihood estimation. The method is validated using flight data and simulations. A three-agent extension is explored.
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Taxonomy
TopicsIndoor and Outdoor Localization Technologies · Robotics and Sensor-Based Localization · Target Tracking and Data Fusion in Sensor Networks
