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基于多项式模型的OFDM信道盲估计
引用本文:方承志,都思丹,薛卫.基于多项式模型的OFDM信道盲估计[J].东南大学学报,2007,23(2):162-167.
作者姓名:方承志  都思丹  薛卫
作者单位:南京大学电子科学与工程系 南京210093
摘    要:采用二元多项式模型对时变OFDM系统的时频响应进行建模.在多项式模型的基础上,结合期望最大化(EM)方法的思想,提出了一种利用时频面上的二维数据来获取模型参数的最大似然(ML)估计值的算法(PEMTO).为了降低计算复杂度,避免由于矩阵求逆而带来的风险,给出了PEMTO的一种迭代计算方法(RPEMTO)PEMTO算法在数学上进行简化后,可以用来进行一维序贯信道估计.仿真结果显示,所提出算法的误码率低于其他类型的盲估计算法.

关 键 词:正交频分复用  期望最大化(EM)  多项式模型  迭代
修稿时间:2007-01-08

OFDM blind channel estimation based on polynomial models
Fang Chengzhi,Du Sidan,Xue Wei.OFDM blind channel estimation based on polynomial models[J].Journal of Southeast University(English Edition),2007,23(2):162-167.
Authors:Fang Chengzhi  Du Sidan  Xue Wei
Institution:Department of Electronic Science and Engineering, Nanjing University, Nanjing 210093, China
Abstract:A two-dimensional (2-D) polynomial regression model is set up to approximate the time-frequency response of slowly time-varying orthogonal frequency-division multiplexing (OFDM) systems.With this model the estimation of the OFDM time-frequency response is turned into the optimization of some time-invariant model parameters.A new algorithm based on the expectation-maximization (EM) method is proposed to obtain the maximum-likelihood (ML) estimation of the polynomial model parameters over the 2-D observed data.At the same time,in order to reduce the complexity and avoid the computation instability, a novel recursive approach (RPEMTO) is given to calculate the values of the parameters.It is further shown that this 2-D polynomial EM-based algorithm for time-varying OFDM (PEMTO) can be simplified mathematically to handle the one-dimensional sequential estimation.Simulations illustrate that the proposed algorithms achieve a lower bit error rate (BER) than other blind algorithms.
Keywords:orthogonal frequency-division multiplexing  expectation-maximization  polynomial model  recursive
本文献已被 CNKI 维普 万方数据 等数据库收录!
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