首页|卫星MIMO通信系统抗移动无人机集群干扰的在线BSS算法

卫星MIMO通信系统抗移动无人机集群干扰的在线BSS算法

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移动无人机(UAV)集群可以对卫星多输入多输出(MIMO)通信系统下行链路近距离实施压制式恶意干扰，导致接收信号的信干比(SIR)很低，严重影响通信质量。由于移动无人机信号的传输具有快衰落特性，因此此类扰信混合不仅具有时变性，而且存在突变性。采用盲源分离(BBS)算法实现扰信分离，提出一种部分回溯自适应变步长动量项等变自适应盲分离(PR-V-M-EASI)算法。算法以自适应变步长动量项EASI算法为基础，将串音误差作为分离性能指标自适应调整步长和动量项因子，加快算法的迭代速度，以适应混合矩阵的时变性。此外，算法还通过部分回溯分离的方式提升混合矩阵突变阶段的分离性能，降低分离算法的复杂度。仿真结果表明，PR-V-M-EASI算法能够在不影响收敛速度的前提下改善混合矩阵突变导致的分离精度下降，可有效对抗移动无人机集群施放的强恶意干扰。
Online BSS Algorithm for Anti-jamming of Mobile UAV Cluster in Satellite MIMO Communication System
Mobile Unmanned Aerial Vehicle(UAV)clusters can exert suppressive malicious interference on the downlink of satellite Multiple Input Multiple Output(MIMO)communication systems at close range.This results in a low Signal-to-Interference Ratio(SIR)of received signals,thereby seriously affecting their communication quality.Due to the fast-fading characteristics of mobile UAV signal transmission,this type of interference is not only time-varying but also mutational.In this study,a Blind Source Separation(BSS)algorithm is used to separate interference from the signal.Based on the variable-step and momentum term Equivariant Adaptive Separation via Independence(EASI)algorithm,the Partial Retrospective Variable-step and Momentum factor EASI(PR-V-M-EASI)algorithm is proposed.It utilizes crosstalk error as the separation performance index to adaptively adjust the step size and momentum factor,thereby accelerating the iteration speed of the algorithm to accommodate the time variability of the mixing matrix.In addition,this algorithm enhances the separation performance during mutation stages of the mixing matrix and reduces the complexity through partial retrospective separation.Simulation results show that the proposed PR-V-M-EASI algorithm not only maintains convergence speed but also improves the separation performance degradation caused by mixing matrix mutations,effectively resisting strong malicious interference from mobile UAV clusters.

satellite Multiple Input Multiple Output(MIMO)systemjamming of Unmanned Aerial Vehicle(UAV)clusterEquivariant Adaptive Separation via Independence(EASI)momentum termpartial retrospectivevariable step size

秦媛、张杭、朱宏鹏、李炯、胡航

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陆军工程大学通信工程学院,江苏南京 210007

航天工程大学航天信息学院,北京 101400

空军工程大学信息与导航学院,陕西西安 710077

卫星多输入多输出系统 无人机集群干扰 等变自适应盲分离 动量项 部分回溯 变步长

国家自然科学基金陕西省自然科学基础研究计划

620015162024JC-YBMS-514

2024

10.19678/j.issn.1000-3428.0069649

计算机工程
华东计算技术研究所　上海市计算机学会

计算机工程

CSTPCD北大核心
影响因子：0.581
ISSN：1000-3428
年,卷(期)：2024.50(6)