Blind identification of time-varying channels using multistep linear predictors
Blind identification of time-varying channels using multistep linear predictors
复制标题
使用多步线性预测器盲识别时变通道
DOI：
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发表时间：
2002
期刊：
影响因子：
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通讯作者：
Jitendra Tugnait
中科院分区：
文献类型：
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作者：
Weilin Luo;Jitendra Tugnait
仅使用数据的二阶统计量来考虑单输入多输出（SIMO）时变信道的盲信道估计。假设时变信道由复指数基展开模型（CE-BEM）描述。基于多步线性预测器的时不变信道盲识别方法被扩展到由 CE-BEM 表示的时变信道。研究了可识别性的充分条件。利用接收信号的循环平稳性来一致地估计来自单个观测的数据的时变相关函数。记录。给出了一个说明性的计算机模拟示例。
Blind channel estimation for single-input multiple-output (SIMO) time-varying channels is considered using only the second-order statistics of the data. The time-varying channel is assumed to be described by a complex exponential basis expansion model (CE-BEM). The multistep linear predictors-based method for blind identification of time-invariant channels is extended to time-varying channels represented by a CE-BEM. Sufficient conditions for identifiability are investigated. Cyclostationarity of the received signal is exploited to consistently estimate the time-varying correlation function of the data from a single observation. record. An illustrative computer simulation example is presented.