基于人工智能的无人机动态频谱反制系统

AI-Based UAV Dynamic Spectrum Countermeasure System

摘要: 文章基于6G通感一体技术，在动态频谱感知基础上，设计实现了一种智能无人机反制系统。该系统集通信、干扰和感知于一体，依托现有通信基础设施，在保障授权用户的可靠通信的基础上，实现对非法无人机的精准干扰，为解决低空安防问题提供了全新的技术路径。项目核心创新在于联合频谱感知、通信和智能干扰的一体化设计。通过构建联合通信感知干扰(JCSJ)优化模型，将其转化为可处理的半定规划(SDP)问题，同时创新性地整合了通感一体化(ISAC)的多模态Transformer感知数据，将通信干扰联合优化与ISAC融合，在智能频谱感知的基础上实现了对非法无人机的有效反制。通过动态频谱感知模块实现非法无人机信号的实时检测与特征提取，并采用反馈机制动态调整干扰策略。

Abstract: This article presents an intelligent UAV countermeasure system based on 6G Integrated Sensing and Communication (ISAC) technology with dynamic spectrum sensing capabilities. The proposed system integrates communication, interference, and sensing functions, leveraging existing communication infrastructure to ensure reliable communication for authorized users while achieving precise interference against unauthorized drones, thereby providing a novel technical approach to low-altitude security challenges. The core innovation lies in the integrated design combining spectrum sensing, communication, and intelligent interference. By formulating a Joint Communication, Sensing, and Jamming (JCSJ) optimization model and transforming it into a tractable Semidefinite Programming (SDP) problem, we innovatively incorporate multi-modal transformer-based ISAC perception data. This fusion of communication-interference joint optimization with ISAC enables effective countermeasures against illegal drones through intelligent spectrum sensing. The system employs dynamic spectrum sensing for real-time detection and feature extraction of unauthorized UAV signals, coupled with a feedback mechanism to dynamically adjust jamming strategies.