面向对抗性通信环境的无人机群轨迹与符号级预编码联合优化策略
Joint Optimization Strategy of Unmanned Aerial Vehicle Group Trajectory and Symbol-Level Precoding in an Adversarial Communication Environment
摘要
Abstract
Unmanned aerial vehicle(UAV)base stations have the characteristics of low cost,fast deployment,wide coverage,high mobility,and high variability.Moreover,they play increasingly important roles in wireless communica-tion systems.When facing a complex electromagnetic interference environment,the interference avoidance trajectory optimization technique based on the concept of UAV obstacle avoidance suffers from serious intra-user interference and high optimization overhead.To solve these problems,this paper proposes a joint optimization scheme of UAV swarm tra-jectory and symbol-level precoding.The optimization goals were to minimize the average flight distance of multiple UAVs and maximize the minimum signal-to-interference-plus-noise ratio received by ground terminals.Thus,a time slot-by-time slot optimization sampling synchronous iteration algorithm was designed,and fast exploration optimization sampling random trees were applied between different time slots to effectively plan the trajectories of multiple UAVs.In addition,to realize the joint utilization of the geographical and electromagnetic domains of UAVs,a fitness function was constructed using the minimum received signal-to-interference-plus-noise ratio of ground terminals and the average distance of multiple UAVs from the end point to ensure anti-interference communication.In the process of multi-UAV trajectory optimization,the collision states between multiple UAVs were judged by the velocity obstacle method,thereby generating a dynamic collision avoidance velocity between multiple UAVs to ensure safe flight between multiple UAVs.Simulation results showed that compared with traditional zero forcing(ZF)precoding,singular value decompo-sition(SVD)precoding,minimum mean square error precoding(MMSE),and Tomlinson-Harashima Precoding(THP),the proposed symbol-level precoding and trajectory joint optimization strategy significantly reduced the average bit error rate and outage probability.Among them,the outage probability was reduced by up to 59.46%,and the effec-tive spectral efficiency was increased by up to 1.4 bps/Hz.In conclusion,the proposed method can perform collision-free trajectory interference avoidance planning for multiple UAVs and therefore has strong theoretical and engineering application value.关键词
无人机/轨迹/符号级预编码/电磁干扰Key words
Unmanned Aerial Vehicle/trajectory/symbol-level precoding/electromagnetic interference分类
信息技术与安全科学引用本文复制引用
周鹏,樊晔,马为鑫,吴麒,罗皓,姚如贵,左晓亚..面向对抗性通信环境的无人机群轨迹与符号级预编码联合优化策略[J].信号处理,2025,41(4):656-667,12.基金项目
2023中电天奥创新理论和科技群基金(2023JSQ0101) （2023JSQ0101）
国家自然科学基金青年科学基金项目(62401473) （62401473）
广东省科技厅基础研究项目(2021A1515110077) （2021A1515110077）
空间微波通信全国重点实验室基金项目(HTKI2024KL504010) （HTKI2024KL504010）
中央高校基本科研业务费(G2024WD0159,D5000210692) （G2024WD0159,D5000210692）
陕西省自然科学基础研究计划资助项目(2023-JC-YB-599) （2023-JC-YB-599）
智能博弈重点实验室创新工作站开放课题(ZBKF-24-15)2023 CETC Tian'ao Innovation Theory and Technology Group Fund(2023JSQ0101) （ZBKF-24-15）
National Natural Science Foundation of China Youth Science Fund Project(62401473) （62401473）
Basic Research Project of Department of Science and Technology of Guangdong Province(2021A1515110077) （2021A1515110077）
Fund Project of National Key Laboratory of Space Microwave Communication(HTKI2024KL504010) （HTKI2024KL504010）
Fundamental Research Funds for the Central Universities(G2024WD0159,D5000210692) （G2024WD0159,D5000210692）
Natural Science Basic Research Program of Shaanxi Province Funded Project(2023-JC-YB-599) （2023-JC-YB-599）
Open Project of Innovation Workstation of Key Laboratory of Intelligent Gaming(ZBKF-24-15) （ZBKF-24-15）
