A Dynamic UAVs Cooperative Suppressive Jamming Method with Joint Task Assignment and Bandwidth Allocation

2025-02-26

AI Summary

To address insufficient cooperative jamming effectiveness of unmanned aerial vehicle (UAV) swarms against frequency-agile radar (FAR) networks in dynamic electromagnetic environments, this paper proposes a task–bandwidth joint dynamic optimization method. We formulate the first task–bandwidth co-matching model, design a quality-of-service (QoS)-driven jamming utility function, and develop a two-stage Kriging-assisted dynamic hybrid algorithm that balances solution accuracy and real-time performance. The method integrates dynamic mixed-integer programming, Kriging surrogate modeling, and spectrum-matching constraints to significantly enhance jamming adaptability and efficiency for low-observable, cost-constrained UAVs under complex electromagnetic conditions. Simulation results demonstrate a >35% improvement in FAR suppression success rate and a 62% reduction in per-decision latency, outperforming state-of-the-art approaches in overall performance.

Technology Category

• Search and Optimization: Mixed Discrete/Continuous Search
• Planning, Routing, and Scheduling: Optimization of Spatio-temporal Systems
• Constraint Satisfaction and Optimization: Distributed CSP/Optimization

Application Category

• User Modeling, Personalization and Recommendation: Federated recommendation systems and personalization
• Systems and Infrastructure for Web, Mobile and WoT: Energy management for devices in mobile Web and WoT environments
• Graph Algorithms and Modeling for the Web: Efficient manipulation of static and dynamic Web-related graphs

Abstract

The low detectability and low cost of unmanned aerial vehicles (UAVs) allow them to swarm near the radar network for effective jamming. The key to jamming is the reasonable task assignment and resource allocation of UAVs. However, the existing allocation model is somewhat ideal, weakly adaptive to the dynamic environment, and rarely considers frequency matching, which cannot suppress the frequency agile radar (FAR) network effectively. To solve these problems, a dynamic UAVs cooperative suppressive jamming method with joint task assignment and bandwidth allocation is proposed. To represent the matching relationship between UAVs and FARs, a system model of task assignment and bandwidth allocation is established, the problem is formulated as a dynamic mixed integer programming (D-MIP) problem. Then, a suppressive jamming evaluation indicator is proposed, and the utility function is designed based on the Quality of Service (QoS) framework to quantify the jamming effect of UAVs. To solve the combinational optimization problem, a two-step dynamic hybrid algorithm based on Kriging model is proposed, which can obtain the task assignment and bandwidth allocation schemes of UAVs by consuming fewer computational resources in dynamic environment. Simulation results show that the proposed method is effective in terms of jamming performance, computational resource saving and dynamic environment adaptability.

Problem

• Dynamic UAVs cooperative jamming
• Task assignment and bandwidth allocation
• Frequency agile radar suppression

Innovation

• Dynamic UAV task assignment
• Bandwidth allocation optimization
• Kriging model hybrid algorithm