Topology optimization of UAV network for target surveillance task with support jamming

• Published in: Signal processing 2024-11, Vol.224, p.109583, Article 109583
• Main Authors: Wei, Jianwei, Yang, Chengxin, Yuan, Ye, Yi, Wei
• Format: Article
• Language: English
• Subjects: Collaborative surveillance; Interference environment; ISC-PSO; Topology optimization; UAV
• ISSN: 0165-1684; 1872-7557
• DOI: 10.1016/j.sigpro.2024.109583

In this paper, a topology optimization method is proposed for cooperative surveillance in unmanned aerial vehicles (UAVs) under an interference environment. We introduce the regional coverage rate to evaluate the cooperative surveillance performance under interference. At its core, we derive the expression of detection probability under interference in detail, which is inherently tied to the signal to interference plus noise ratio (SINR) influenced by UAV configuration, in which the location of each UAV affects the cooperative surveillance performance. To maximize the network surveillance performance, we use the coverage rate metric as the objective function to formulate a topology optimization problem under the interference environment, while satisfying distance constraints between UAVs. As the problem is non-convex and highly nonlinear, the internal self-constrained particle swarm optimization (ISC-PSO) algorithm is used to solve this problem, which can well address the issue of range constraints while maintaining adequate convergence. The numerical studies demonstrate that the proposed algorithm can obtain good surveillance performance in terms of different jamming strategies and shapes of monitoring areas. •The detection probability under the interference environment is derived.•The metric characterizing cooperative detection performance under the interference environment is introduced.•Formulating a topology optimization problem with range constraints.•The self-constrained particle swarm optimization algorithm for the nonconvex optimization problem.