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Computationally efficient channel estimation for space-time block coded system

机译:时空分组编码系统的计算有效信道估计

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Space-time coding has been proposed in recent years to provide significant capacity gains over traditional communication systems in wireless fading channels. Most works on space-time coding assume availability of perfect channel state information (CSI) in the receiver. In this paper, a decoupled maximum likelihood (DEML) channel estimator is presented for space-time block coded (STBC) system. The DEML estimator decouples the multi-dimensional problem of the exact maximum likelihood (ML) estimator to a set of one-dimensional problems and, hence, is computationally efficient. An iterative ML detector is proposed to improve the performance of DEML estimator. Simulation results are presented to demonstrate the performance of proposed channel estimator and to make comparisons with perfect channel information system.
机译:近年来已经提出了时空编码,以在无线衰落信道中提供超过传统通信系统的显着容量增加。大多数有关时空编码的工作都假设接收器中具有完善的信道状态信息(CSI)。本文提出了一种用于时空分组编码(STBC)系统的去耦最大似然(DEML)信道估计器。 DEML估计器将精确最大似然(ML)估计器的多维问题解耦到一组一维问题,因此计算效率很高。提出了一种迭代式ML检测器,以提高DEML估计器的性能。仿真结果表明了所提出的信道估计器的性能,并与完善的信道信息系统进行了比较。

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