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作 者:Hui Xie Fenghua Wang Zhitao Huang
机构地区:[1]Department of Electronic and Optics Engineering,Ordance Engineering College [2]College of Electronic Science and Engineering,National University of Defense Technology
出 处:《Journal of Systems Engineering and Electronics》2014年第4期560-565,共6页系统工程与电子技术(英文版)
基 金:supported by the National Natural Science Foundation of China(61072120)
摘 要:An algorithm based on eigenanalysis technique and Walsh-Hadamard transform (WriT) is proposed. The algorithm contains two steps. Firstly, the received sequence is divided into temporal windows, and a covariance matrix is computed. The linear feedback shift register (LFSR) sequence is reconstructed from the first eigenvector of this matrix. Secondly, equations according to the recovered LFSR sequence are constructed, and the Walsh spectrum corresponding to the equations is computed. The feedback polynomial of LFSR is estimated from the Walsh spectrum. The validity of the algorithm is verified by the simulation result. Finally, case studies are presented to illustrate the performance of the blind reconstruction method.An algorithm based on eigenanalysis technique and Walsh-Hadamard transform (WriT) is proposed. The algorithm contains two steps. Firstly, the received sequence is divided into temporal windows, and a covariance matrix is computed. The linear feedback shift register (LFSR) sequence is reconstructed from the first eigenvector of this matrix. Secondly, equations according to the recovered LFSR sequence are constructed, and the Walsh spectrum corresponding to the equations is computed. The feedback polynomial of LFSR is estimated from the Walsh spectrum. The validity of the algorithm is verified by the simulation result. Finally, case studies are presented to illustrate the performance of the blind reconstruction method.
关 键 词:SCRAMBLER linear feedback shift register (LFSR) RECONSTRUCTION EIGENANALYSIS Walsh-Hadamard transform.
分 类 号:TN911.2[电子电信—通信与信息系统]
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