English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

In this paper, we study the trajectory and resource optimization forlightweight rotary-wing unmanned aerial vehicles (UAVs) equipped with asynthetic aperture radar (SAR) system. The UAV's mission is to perform SARimaging of a given area of interest (AoI). In this setup, real-timecommunication with a base station (BS) is required to facilitate live missionplanning for the drone. For this purpose, a non-convex mixed-integer non-linearprogram (MINLP) is formulated such that the UAV resources and three-dimensional(3D) trajectory are jointly optimized for maximization of the drone radarground coverage. We present a low-complexity sub-optimal algorithm based onsuccessive convex approximation (SCA) for solving the problem, and perform afinite search to optimize the total distance traversed by the UAV for maximalcoverage. We show that the proposed 3D trajectory planning achieves at least70% improvement in radar ground coverage compared to benchmark schemesemploying constant powers for communication or radar imaging. We also show thatpositioning the BS near the AoI can significantly improve the radar coverage ofthe UAV.

Trajectory and Resource Optimization for UAV Synthetic Aperture Radar