DragonFly: Single mmWave Radar 3D Localization of Highly Dynamic Tags in GPS-Denied Environments

šŸ“… 2025-07-06
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šŸ¤– AI Summary
To address the challenge of three-dimensional (3D) localization of high-speed dynamic targets (e.g., personnel, vehicles, UAVs) in GPS-denied indoor environments, this paper proposes a passive backscatter tracking system based on a single MIMO millimeter-wave radar. The system achieves, for the first time, long-range (up to 50 m) 3D localization of millimeter-scale backscatter tags operating under high acceleration (≤4 m/s²) and high velocity (≤10 m/s). Key innovations include: (1) a Doppler de-aliasing algorithm to resolve velocity ambiguity induced by high-speed motion; and (2) a fully integrated cross-polarized dielectric lens tag, consuming only 68 μW while significantly enhancing reflection efficiency and angular robustness. Experimental evaluation demonstrates a median 3D localization accuracy of 12 cm in both static and quadrotor flight scenarios. This work establishes a new paradigm for low-power, high-precision indoor spatial awareness.

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šŸ“ Abstract
The accurate localization and tracking of dynamic targets, such as equipment, people, vehicles, drones, robots, and the assets that they interact with in GPS-denied indoor environments is critical to enabling safe and efficient operations in the next generation of spatially aware industrial facilities. This paper presents DragonFly , a 3D localization system of highly dynamic backscatter tags using a single MIMO mmWave radar. The system delivers the first demonstration of a mmWave backscatter system capable of exploiting the capabilities of MIMO radars for the 3D localization of mmID tags moving at high speeds and accelerations at long ranges by introducing a critical Doppler disambiguation algorithm and a fully integrated cross-polarized dielectric lens-based mmID tag consuming a mere 68 uW. DragonFly was extensively evaluated in static and dynamic configurations, including on a flying quadcopter, and benchmarked against multiple baselines, demonstrating its ability to track the positions of multiple tags with a median 3D accuracy of 12 cm at speeds and acceleration on the order of 10 m/s-1 and 4 m/s-2 and at ranges of up to 50 m.
Problem

Research questions and friction points this paper is trying to address.

3D localization of dynamic tags without GPS
Tracking fast-moving objects with mmWave radar
High-accuracy positioning in indoor industrial environments
Innovation

Methods, ideas, or system contributions that make the work stand out.

Single MIMO mmWave radar for 3D localization
Doppler disambiguation algorithm for high-speed tags
Cross-polarized dielectric lens-based mmID tag
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S
Skanda Harisha
University of Michigan
J
Jimmy G. D. Hester
University of Michigan, Atheraxon Inc.
Aline Eid
Aline Eid
Assistant Professor in EECS at the University of Michigan Ann Arbor
mmIDsWPTWireless Sensing5GSmart Cities