Line of Sight Probability Prediction for UAV Communication
Imran Mohammed, Iain B. Collings, Stephen V. Hanly
Abstract
This paper presents an accurate approach to predict the probability of line-of-sight for unmanned aerial vehicle (UAV) communications. We present a new numerical approach to calculate the probability of line-of-sight as a function of UAV height and distance to a ground based receiver, using a two- dimensional model of building and UAV locations. We use this numerical approach to calculate the probability of line-of-sight as a function of elevation angle. We also provide closed-form formulas for the probability of LoS as a function of elevation angle. We show that our approaches predict the probability of line-of-sight more accurately than the existing approaches.
Topics & Concepts
Line-of-sightSightElevation (ballistics)Non-line-of-sight propagationComputer scienceProbability density functionElevation angleLine (geometry)Function (biology)Probability distributionComputer visionAlgorithmArtificial intelligenceMathematicsTelecommunicationsStatisticsAzimuthEngineeringAerospace engineeringOpticsPhysicsGeometryBiologyWirelessEvolutionary biologyUAV Applications and OptimizationRadio Wave Propagation StudiesIndoor and Outdoor Localization Technologies