A Method of Individual Radio Transmitter Identification Based on Collaborative Representation

摘要：

　　To make use of the correlation among the samples,a method of individual radio transmitter identification based on collaborative representation is put forward in this paper.Firstly,we extract the square integral bispectra (SIB) features to characterise the radio transmitters in the feature space.Secondly,based on collaborative representation,we compute the sparse coefficients with low computational complexity.At last,benefiting from the discrimination information of coefficient,the classifier is constructed for the final individual radio transmitter identification.On the actual collected FM radio dataset,the experimental results verify the effectiveness and robustness of our method.

关键词： individual radio transmitter identification collaborative representation sparse representation square integral bispectra

作者: Zhe Tang Ying-Ke Lei

作者单位: Electronic Engineering Institute,Hefei,China ;Science and Technology on Communication Information Security Control Laboratory,Zhejiang,China

会议类型: 国际会议

会议名称: 2016IEEE第二届信息技术、网络、电子及自动化控制会议

会议地点: 重庆

会议语种:英文

页码: 626-631

在线出版日期: 2016-03-20（万方平台首次上网日期，不代表论文的发表时间）