Radio Transmitter Fingerprint Identification based on Modified LS-EVD Algorithm
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
RTFI eigenwalue decomposition LS noise power
Li Yan-ling Li Bing-bing Liu Ming-qian
School of Information and Management Science, Henan Agricultural University, Zhengzhou, China Nation National Key Laboratory of ISN, Xidian University, Xi’an, China
国际会议
2010 IEEE 10th International Conference on Signal Processing(第十届信号处理国际会议 ICSP 2010)
北京
英文
1378-1381
2010-08-24(万方平台首次上网日期,不代表论文的发表时间)