For LEO Satellite Networks: Intelligent Interference Sensing and Signal Reconstruction Based on Blind Separation Technology

作     者：Chengjie Li Lidong Zhu Zhen Zhang Chengjie Li;Lidong Zhu;Zhen Zhang

作者机构：The Key Laboratory for Computer Systems of State Ethnic Affairs CommissionSchool of Computer Science and Technology(Southwest Minzu University)Chengdu 610000China National Key Laboratory of Science and Technology on Communications(University of Electronic Science and Technology of China)Chengdu 610000China College of Computer Science(Sichuan University)Chengdu 610000China 

出 版 物：《China Communications》 (中国通信（英文版）)

年 卷 期：2024年第21卷第2期

页      面：85-95页

核心收录：

学科分类：080904[工学-电磁场与微波技术] 0810[工学-信息与通信工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 080402[工学-测试计量技术及仪器] 0804[工学-仪器科学与技术] 081001[工学-通信与信息系统] 

基　　金：supported by National Natural Science Foundation of China (62171390) Central Universities of Southwest Minzu University (ZYN2022032,2023NYXXS034) the State Scholarship Fund of the China Scholarship Council (NO.202008510081) 

主　　题：blind source separation greedy optimization algorithm interference sensing LEO satellite communication networks signal reconstruction 

摘      要：In LEO satellite communication networks,the number of satellites has increased sharply, the relative velocity of satellites is very fast, then electronic signal aliasing occurs from time to time. Those aliasing signals make the receiving ability of the signal receiver worse, the signal processing ability weaker,and the anti-interference ability of the communication system lower. Aiming at the above problems, to save communication resources and improve communication efficiency, and considering the irregularity of interference signals, the underdetermined blind separation technology can effectively deal with the problem of interference sensing and signal reconstruction in this scenario. In order to improve the stability of source signal separation and the security of information transmission, a greedy optimization algorithm can be executed. At the same time, to improve network information transmission efficiency and prevent algorithms from getting trapped in local optima, delete low-energy points during each iteration process. Ultimately, simulation experiments validate that the algorithm presented in this paper enhances both the transmission efficiency of the network transmission system and the security of the communication system, achieving the process of interference sensing and signal reconstruction in the LEO satellite communication system.