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.
关键词
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
Key words
satellite Multiple Input Multiple Output(MIMO)system/jamming of Unmanned Aerial Vehicle(UAV)cluster/Equivariant Adaptive Separation via Independence(EASI)/momentum term/partial retrospective/variable step size
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