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 LS-EVD algorithm improves the performance of Radio Transmitter Fingerprint Identification (RTFI) greatly.