南京大学学报（自然科学版）2024，Vol.60Issue(5)：723-734,12.DOI:10.13232/j.cnki.jnju.2024.05.003
欠定性时变的卫星MIMO通信系统盲分离抗干扰方法
Anti-jamming method based on underdetermined time-varying blind source separation for satellite MIMO communication systems
秦媛 1张杭 1朱宏鹏1
作者信息
- 1. 陆军工程大学通信工程学院,南京,210007
- 折叠
摘要
Abstract
In response to the problem of time-varying and unknown number of interfering Unmanned Aerial Vehicles(UAVs),as well as low Signal to Interference Ratio(SIR)and Signal to Noise Ratio(SNR)of Earth station observation signals in the downlink of the Multiple Input Multiple Output(MIMO)communication system of Geostationary Earth Orbit(GEO)satellites facing malicious interference from UAV clusters,this paper proposes a FPN-BiLSTM network architecture and its training method that combines Feature Pyramid Network(FPN)and Bidirectional Long Short Term Memory(BiLSTM)networks to achieve end-to-end underdetermined blind source separation with time-varying number of sources.By applying this algorithm,the expected signal bit sequence is directly extracted from underdetermined mixing observation signals without the need for estimating the number of interference sources or traditional signal demodulation.The simulation result shows that compared to other underdetermined blind source separation algorithms based on deep learning networks,the proposed algorithm has a low bit error rate and good interference cancellation performance in scenarios where the number of source signals is time-varying and SNR and SIR are as low as 0 dB and-18 dB respectively.关键词
卫星MIMO通信系统/无人机集群干扰/欠定盲源分离/FPN/BiLSTMKey words
satellite MIMO communication system/UAV cluster interference/underdetermined blind source separation/FPN/BiLSTM分类
信息技术与安全科学引用本文复制引用
秦媛,张杭,朱宏鹏..欠定性时变的卫星MIMO通信系统盲分离抗干扰方法[J].南京大学学报（自然科学版）,2024,60(5):723-734,12.
