Abstract

Orthogonal frequency division multiplexing based cooperative system using Alamouti space–time block coding at relay node represents an alternative solution to achieve better connectivity and significant enhancement to the data rate in wireless fading channels. But, these advantages cannot be achieved without an efficient estimation of the channels which becomes more challenging for cooperative communications. This paper addresses the joint channel estimation and data detection for cooperative communication systems. Indeed, equispaced pilot symbols are used by maximum likelihood (ML) algorithm to derive channels estimator, and then equalizers are calculated and applied to improve receiver data detection. The main contribution of our work is the development of the ML estimator, the corresponding Cramer–Rao lower bound, mean square error, signal to interference plus noise ratio, outage probability, bit error probability and the use of simulations to demonstrate the superior performances of the proposed methods.

中文翻译：

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基于OFDM的协同系统的联合信道估计与数据检测。

摘要

在中继节点使用Alamouti空时分组编码的基于正交频分复用的协作系统代表了一种替代解决方案，可实现更好的连接性并显着提高无线衰落信道中的数据速率。但是，如果不对信道进行有效的估计，就无法获得这些优势，这对于协作通信而言变得更具挑战性。本文讨论了协作通信系统的联合信道估计和数据检测。实际上，最大似然（ML）算法使用等距的导频符号来导出信道估计器，然后计算均衡器并将其应用于改善接收机数据检测。我们工作的主要贡献是ML估计器的发展，相应的Cramer-Rao下界，均方误差，