首页 | 本学科首页   官方微博 | 高级检索  
     

基于盲源分离的多跳频信号网台分选算法
引用本文:于欣永,郭英,张坤峰,李雷,李红光. 基于盲源分离的多跳频信号网台分选算法[J]. 信号处理, 2017, 33(8): 1082-1089. DOI: 10.16798/j.issn.1003-0530.2017.08.008
作者姓名:于欣永  郭英  张坤峰  李雷  李红光
作者单位:空军工程大学信息与导航学院
基金项目:国家自然科学基金(64601500)
摘    要:针对欠定条件下多跳频信号的网台分选问题,该文利用跳频信号在时频域上的稀疏性,提出了一种基于盲源分离的自适应信噪比网台分选算法。首先,用Gabor变换作为系统的时频变换建立欠定条件下跳频信号网台分选的模型;然后,采用了自适应信噪比的时频支撑点阈值设定方法寻找源信号的时频单源点,根据时频单源点的时频比矩阵估计出混合矩阵;最后,利用与信源相对功率偏差相结合的改进的子空间投影法进行网台分选。仿真实验验证了该算法在低信噪比条件下的有效性。 

关 键 词:跳频   欠定   自适应信噪比   时频单源点   网台分选
收稿时间:2017-01-06

A network sorting algorithm based on blind source separation of multi-FH signal
Affiliation:Institute of Information and Navigation, Air Force Engineering University
Abstract:Aiming at the multi-FH signal sorting under undetermined condition, based on blind source separation, this paper put forward a SNR-adaptive sorting algorithm using the time-frequency sparsity of FH signal. Firstly, Gabor transformation is used as time-frequency transformation in system and sorting model is established under undetermined condition; then the adaptive-SNR threshold setting method is used to find the time-frequency single source. The mixed matrix is estimated according to the time-frequency matrix of single source; lastly, signal sorting is realized through improved subspace projection combined with relative power deviation of source. Simulation result shows the effectiveness of this method under low SNR condition. 
Keywords:
点击此处可从《信号处理》浏览原始摘要信息
点击此处可从《信号处理》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号