Radio Transmitter Fingerprint Identification based on Modified LS-EVD Algorithm

被引：0
|
作者：
Li Yan-ling [1 ,2 ]
Li Bing-bing [2 ]
Liu Ming-qian [2 ]
机构：
[1] Henan Agr Univ, Sch Informat & Management Sci, Zhengzhou, Peoples R China
[2] Natl Key Lab ISN, Xian, Peoples R China
来源：
2010 IEEE 10TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS (ICSP2010), VOLS I-III | 2010年
基金：
中国国家自然科学基金; 国家高技术研究发展计划(863计划);
关键词：
RTFI; eigenwalue decomposition; LS; noise power;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
According to the definition of autocorrelation matrix (ACM), this paper was proposed a new autocorrelation matrix construction method. In comparison to traditional least square algorithm based on eigenvalue decomposition (LS-EVD), the presented method improved the estimation accuracy of eigenvalue. In addition, dividing signal subspace and noise subspace in a new method, which reduced the estimation error of signal-noise ratio. Simulation results show that the modified LS-EVD algorithm improves the performance of Radio Transmitter Fingerprint Identification (RTFI) greatly
引用
收藏
页码：1378 / +
页数：2
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