中国空间科学技术（中英文）2026，Vol.46Issue(1)：13-23,11.DOI:10.16708/j.cnki.1000-758X.2026.0006
面向低轨卫星的时延簇选择优化载波分离算法
Delay cluster selection optimization based carrier separation algorithm for LEO satellites
摘要
Abstract
A delay cluster selection optimization based second-order blind identification(DCSO-SOBI)carrier separation algorithm against distortion is proposed to address the demands of complex interference analysis and extraction in low Earth orbit(LEO)internet satellite systems.Targeting the limitations of traditional signal detection and recognition algorithms in handling multi-carrier aliasing scenarios,the proposed algorithm employes blind separation techniques to achieve the separation and extraction of multi-source mixed signals,thereby resolving the feature ambiguity issues caused by time-frequency aliasing of multiple signals.Furthermore,based on the correlation matrix characteristics of the observed signals within the second-order blind identification(SOBI)separation architecture,the proposed algorithm optimizes the initial selection of delay clusters and adjusts the search step size,thereby effectively reducing the search range and computational load of joint block diagonalization(JBD)while improving carrier separation accuracy and convergence speed.Simulation results demonstrate that,compared with the traditional SOBI algorithm,the proposed algorithm exhibits insensitivity to signal types,and achieves a 7.89%improvement in separation correlation coefficient and a 20.81%improvement in residual signal-to-noise ratio(SNR)under a 10dB SNR condition.In terms of computational complexity,the proposed algorithm achieves a significant reduction in the convergence speed of JBD processing at a relatively low computational cost for delay cluster selection optimization.Compared with the Jacobi-like JBD algorithm based on QR decomposition,the required number of iterations is reduced by 10.97%,and the computation time is improved by 0.62 ms under a 10dB SNR condition,thereby effectively lowering the computational complexity and processing time required for separation.Without impacting the normal communication of LEO satellites,the proposed algorithm enables high-precision separation and rapid extraction of complex interference signals,providing a foundation for subsequent signal recognition processing and anti-interference scheme decision-making.关键词
低轨互联网卫星/载波分离/抗失真/时延簇选择优化/二阶盲辨识Key words
LEO internet satellite/carrier separation/anti-distortion/delay cluster selection optimization/second-order blind identification分类
航空航天引用本文复制引用
张旭,刘攀,惠腾飞,李加洪..面向低轨卫星的时延簇选择优化载波分离算法[J].中国空间科学技术（中英文）,2026,46(1):13-23,11.基金项目
国家"十四五"研发项目(3050406) （3050406）
中国空间技术研究院自主研发项目(Y23-WYHXJS-07) （Y23-WYHXJS-07）
军委科技委基础加强计划(2022-JCJQ-JJ-0655) （2022-JCJQ-JJ-0655）
