Radio Transmitter Fingerprint Identification based on Modified LS-EVD Algorithm

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 LSEVD algorithm improves the performance of Radio Transmitter Fingerprint Identification (RTFI) greatly

关键词： RTFI eigenwalue decomposition LS noise power

作者: Li Yan-ling Li Bing-bing Liu Ming-qian

作者单位: School of Information and Management Science, Henan Agricultural University, Zhengzhou, China Nation National Key Laboratory of ISN, Xidian University, Xi’an, China

会议类型: 国际会议

会议名称: 2010 IEEE 10th International Conference on Signal Processing(第十届信号处理国际会议 ICSP 2010)

会议地点: 北京

会议语种:英文

页码: 1378-1381

在线出版日期: 2010-08-24（万方平台首次上网日期，不代表论文的发表时间）