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

TL;DR

This paper introduces a dynamic method for UAV cooperative jamming that optimizes task assignment and bandwidth allocation to effectively suppress frequency agile radar networks, adapting to changing environments with reduced computational costs.

Contribution

It proposes a novel joint task assignment and bandwidth allocation model for UAV jamming, incorporating dynamic environment adaptation and a hybrid optimization algorithm based on Kriging.

Findings

Effective in improving jamming performance

Reduces computational resource consumption

Enhances adaptability in dynamic environments

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.