基于变分模态分解的跳频网台盲分选算法研究  

Research of Blind Frequency Aggregate Division Based on Variational Mode Decomposition Algorithm

作　　者：王皓 何俊[1] 胡振彪[1] 吕大千 

机构地区：[1]电子工程学院,安徽合肥230037

出　　处：《信息工程大学学报》2017年第4期409-413,共5页Journal of Information Engineering University

摘　　要：跳频网台分选是对跳频通信进行通信对抗侦察的重要环节,也是实施后续侦察乃至干扰的基础。为实现在盲分离(blind source separation,BSS)算法对非平稳信号特征的充分利用,提出一种基于变分模态分解(variational mode decomposition,VMD)联合近似对角化(joint approximate diagonalization of eigenmatrix,JADE)相结合的盲源分离算法,该方法利用希尔伯特谱(Hilbert spectrum analysis)进行时频分析,并在瞬时混合模型的基础上,对跳频网台的混叠信号进行了盲分离,通过仿真验证了算法的可行性,并从信噪比、矩阵奇异性、源信号幅度差异等3个方面进行算法性能分析,并构建算法性能指标,衡量分离效果。结果表明,在对跳频信号的盲分选上,该算法相比FastICA算法具有更好的效果。Frequency aggregate division is an important part and basis in communication countermeasure reconnaissance and jamming.To realize full use of non-stationary characteristics for blind source separation,the paper proposes a joint VMD and JADE algorithm,which does time-frequency analysis by Hilbert Spectrum Analysis and could separate mixed FH signals on the basis of instantaneous mixing model.Then,the algorithm is verified by simulation,with its performance analyzed from SNR,matrix singularity and amplitude difference,and it effectiveness measured by setting index.The result shows that as to blind separation of FH signals,this algorithm is better than JADE algorithm based on standard of information independence.

关 键 词：变分模态分解 联合近似对角化 跳频信号 盲源分离 网台分选 

分 类 号：TN911.7[电子电信—通信与信息系统]