文献类型：期刊文献

英文题名：Algorithm for blind identification and equalization based on equivalent transformation of statistical property

作者：Jin, Wei; Zhao, Le-Jun

机构：[1] School of Information Science and Engineering, East China University of Science and Technology, Shanghai 200237, China

年份：2008

卷号：34

期号：5

起止页码：719

外文期刊名：Huadong Ligong Daxue Xuebao /Journal of East China University of Science and Technology

收录：EI(收录号：20084811740430)

语种：英文

摘要：Stacked system model of SIMO channel is introduced by considering channel output over-sampling. The concept of statistical property transformation is discussed according to the situation in which channel input is stationary and non-identically independent distribution (i.i.d.) with a priori known autocorrelation function. In this paper, the closed-form solution of equivalent transformation matrix is concluded and an algorithm for blind identification suitable to stationary source is proposed. Through simulations, the algorithm's performances of estimation error and convergence are analyzed. Simulation results demonstrate the proposed approach can effectively equalize the channel driven by non-i. i. d. input. This algorithm also has advantages of high accuracy and fast convergence.