Blind Identification of Underdetermined Mixtures Using Second-Order Cyclostationary Statistics  

作　　者：LU Fengbo ZHANG Bisheng HUANG Zhitao JIANG Wenli 

机构地区：[1]Naval Academy of Armament, Beijing 100161, China [2]School of Electronic Science and Engineering, National University of Defense Technology, Changsha 410073, China

出　　处：《Chinese Journal of Electronics》2013年第1期31-35,共5页电子学报（英文版）

摘　　要：Aiming at the problem of blind identifica-tion of underdetermined mixtures, we propose a method of blind identification based on second-order cyclostationary statistics. Estimate non zero cycle frequencies of original signals by cycle auto-correlation function of mixtures first and then stack the cycle correlation matrices correspond-ing to different cycle frequencies and time lags in a three order tensor, final achieve the estimation of mixing matrix by canonical decomposition. Simulation results indicate that the proposed algorithm estimates the mixing matrix with higher accuracy compared to the conventional algo-rithms.

关 键 词：Blind identification of underdeterminedmixtures Second-order cyclostationary statistics Canoni-cal decomposition of the three-order tensor. 

分 类 号：O175.1[理学—数学] TN911.7[理学—基础数学]