Simulation of the Effect of Correlated Packet Loss for sUAS Platforms Operating in Non-Line-of-Sight Indoor Environments

Author:

Meriaux Edwin1,Weitzen Jay1,Norton Adam2

Affiliation:

1. Lowell ECE Department, University of Massachusetts, Lowell, MA 01854, USA

2. Lowell NERVE Center, University of Massachusetts, Lowell, MA 01852, USA

Abstract

The current state of the art in small Unmanned Aerial System (sUAS) testing and evaluation exists mainly in the realm of outdoor flight. Operating small flying sUAS in constrained indoor or subterranean environments places different constraints on their communication links (control links and camera/sensor links). Communication loss in these environments is much more severe due to the proximity of obstacles. This paper examines how correlated packet loss (burst errors) occurring on both the control and camera communication links affects the ability of pilots to fly and navigate small sUAS platforms in constrained Non-Line of Sight (NLOS) environments. A software test bench called AirSim, a UAV simulator, allows us to better understand the effects of correlated packet loss on flyability without damaging multiple sUAS units by flight testing. The simulation was designed to support the design of test methodologies for evaluating the robustness of the communication links and to understand performance without damaging flight tests. Throughout the simulations, it is observed how different levels of packet loss affect the pilot and the number of simulated crashes into the obstacles placed through space. The simulations modeled packet loss both on the video link and the control link to display how packet loss affects ability to pilot and control the sUAS. The utility of using a simulated environment rather than flight testing prevents damage to the fragile and expensive drones being used.

Funder

Department of the Army, U.S. Army Combat Capabilities Development Command Soldier Center

Publisher

MDPI AG

Subject

Artificial Intelligence,Computer Science Applications,Aerospace Engineering,Information Systems,Control and Systems Engineering

Reference26 articles.

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3. Norton, A., Ahmadzadeh, R., Jerath, K., Robinette, P., Weitzen, J., Wickramarathne, T., Yanco, H., Choi, M., Donald, R., and Donoghue, B. (2023). Decisive Benchmarking Data Report: sUAS Performance Results from Phase I. arXiv.

4. Norton, A., Ahmadzadeh, R., Jerath, K., Robinette, P., Weitzen, J., Wickramarathne, T., Yanco, H., Choi, M., Donald, R., and Donoghue, B. (2022). Decisive test methods handbook: Test methods for evaluating suas in subterranean and constrained indoor environments, version 1.1. arXiv.

5. Shahmoradi, J., Talebi, E., Roghanchi, P., and Hassanalian, M. (2020). A comprehensive review of applications of drone technology in the mining industry. Drones, 4.

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