Trajectory and Resource Optimization for UAV Synthetic Aperture Radar

Lahmeri MA, Ghanem W, Knill C, Schober R (2022)

Publication Type: Conference contribution

Publication year: 2022

Publisher: Institute of Electrical and Electronics Engineers Inc.

Pages Range: 897-903

Conference Proceedings Title: Proceedings of the IEEE Global Communications Conference (GLOBECOM) 2022

Event location: Rio de Janeiro, Brasil BR

ISBN: 9781665459754

DOI: 10.1109/GCWkshps56602.2022.10008658

Abstract

In this paper, we study the trajectory and resource optimization for lightweight rotary-wing unmanned aerial vehicles (UAVs) equipped with a synthetic aperture radar (SAR) system. The UAV's mission is to perform SAR imaging of a given area of interest (AoI). In this setup, real-time communication with a base station (BS) is required to facilitate live mission planning for the drone. For this purpose, a non-convex mixed-integer non-linear program (MINLP) is formulated such that the UAV resources and three-dimensional (3D) trajectory are jointly optimized for maximization of the drone radar ground coverage. We present a low-complexity sub-optimal algorithm based on successive convex approximation (SCA) for solving the problem, and perform a finite search to optimize the total distance traversed by the UAV for maximal coverage. We show that the proposed 3D trajectory planning achieves at least 70% improvement in radar ground coverage compared to benchmark schemes employing constant powers for communication or radar imaging. We also show that positioning the BS near the AoI can significantly improve the radar coverage of the UAV.

Authors with CRIS profile

Mohamed Amine Lahmeri Lehrstuhl für Digitale Übertragung (IDC) Walid Ghanem Lehrstuhl für Digitale Übertragung (IDC) Robert Schober Lehrstuhl für Digitale Übertragung (IDC)

Involved external institutions

Universität Ulm DE Germany (DE)

How to cite

APA:

Lahmeri, M.A., Ghanem, W., Knill, C., & Schober, R. (2022). Trajectory and Resource Optimization for UAV Synthetic Aperture Radar. In Proceedings of the IEEE Global Communications Conference (GLOBECOM) 2022 (pp. 897-903). Rio de Janeiro, Brasil, BR: Institute of Electrical and Electronics Engineers Inc..

MLA:

Lahmeri, Mohamed Amine, et al. "Trajectory and Resource Optimization for UAV Synthetic Aperture Radar." Proceedings of the IEEE Global Communications Conference 2022, Rio de Janeiro, Brasil Institute of Electrical and Electronics Engineers Inc., 2022. 897-903.

BibTeX: Download