Work

Joint detection, tracking and communication optimization based on radar-communication UAV

Year: 2025

Type: article

Abstract: Improving the ability of an unmanned aerial vehicle (UAV) to perform tasks is of great significance in the future battlefield. This paper investigates the detection, tracking, and communication tasks performed by a radar-communication UAV under time and energy constraints. To balance the constraints and task performance, we formulate a joint detection, tracking, and communication optimization problem in a UAV-assisted radar and communication (RC) system by jointly optimizing dwell time, scheduling interval, and UAV trajectory. Due to the non-convex problem, we propose an alternative iterative optimization (AIO) algorithm to find the suboptimal solution. Simulation results demonstrate that the proposed algorithm can obtain higher joint performance than baseline schemes while reaching convergence.

Source: ICT Express

DOI: 10.1016/j.icte.2025.12.009

Authors: Xun Zhang, Xiaobai Li, Wei Cheng, Lu Gao

Institutions: China Three Gorges University, People's Liberation Army Air Force

Language: English

Topic: Radar Systems and Signal Processing

Subfield: Aerospace Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: gold

Estimated APC paid: $1,500