Jul 2026· International Symposium on Communication Systems, Networks and Digital Signal Processing· pp. 1-6· 0 citations· 14 references
Computer Science
Abstract
This paper presents a three-dimensional (3D) unmanned aerial vehicle (UAV) localization framework based on optical round-trip time (RTT) ranging and multilateration. Multiple fixed optical transmitters estimate distances via laser reflections from a UAV equipped with passive retroreflectors, enabling infrastructure-assisted localization without active onboard hardware or additional energy consumption. The system model incorporates additive Gaussian ranging noise, and the localization problem is formulated as a non-linear least-squares estimation problem. Monte Carlo simulations demonstrate a median localization error of approximately 0.055 m, with 90% and 95% of errors below 0.11 m and 0.14 m, respectively, under centimeter-level ranging noise. The results show that localization accuracy depends on transmitter geometry and UAV altitude, with errors increasing at higher altitudes and under larger noise levels. Furthermore, increasing the number of transmitters improves accuracy through enhanced measurement redundancy. The results provide practical design guidelines for optical UAV tracking systems.
Unmanned aerial vehicles (UAVs) are increasingly utilized across military, civilian, and agricultural sectors, necessitating accurate and efficient 3D target localization. Traditional 2D detectors lack depth perception, while stereo vision and LiDAR have range-dependent and hardware limitations, respectively. To addres...
Yan-Xin Sun, Ming-Ming Ma, Lan-Yu Sun et al.· Electronics· 0 citations
Emerging to support the burgeoning low-altitude economy, the low-altitude wireless network (LAWN) serves as a mobile infrastructure with unified connectivity and sensing capabilities. As the primary enablers of this network, unmanned aerial vehicles (UAVs) are required to go beyond self-localization to perceive surroun...
Ziang Yang, Hong-Liang Zhang, Bo-Ya Di et al.· IEEE Transactions on Communi...· 0 citations
Unmanned aerial vehicle (UAV) swarms increasingly operate in GNSS-denied environments, where cooperative localization provides relative positioning by fusing onboard odometry with inter-agent range measurements, for which ultra-wideband (UWB) two-way ranging is a common infrastructure-free choice. Beyond accuracy, safe...
The synthesis indicates that LiDAR remains a strong perceptual backbone for UAV autonomy, but that state-of-the-art systems increasingly combine it with inertial, visual, radar, and learning-based components rather than relying on LiDAR in isolation.
Svitlana Pavlova, V. Chepizhenko, Fu-Zhong Li et al.· Applied Sciences· 0 citations
Fast dynamic obstacle avoidance (DOA) on uncrewed aerial vehicles (UAVs) demands not only low-latency control and actuation but also reliable perception with sufficient sensing range for accurate obstacle detection and speed estimation. This letter presents, to the best of our knowledge, the first mmWave RADAR-based pe...
This paper presents a comprehensive review of state-of-the-art localisation techniques for autonomous vehicles, with a focus on technologies leveraging active and passive sensors, cellular vehicle-to-everything (C-V2X) communication, and data fusion methods. It highlights the challenges faced by global navigation satel...
Jerry James, Naveen Gupta, Ravi Kadlimatti· IEEE Open Journal of the Com...· 0 citations
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