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A subspace approach to blind space-time signal processing for wireless communication systems

机译:用于无线通信系统的盲时空信号处理的子空间方法

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The two key limiting factors facing wireless systems today are multipath interference and multiuser interference. In this context, a challenging signal processing problem is the joint space-time equalization of multiple digital signals transmitted over multipath channels. We propose a blind approach that does not use training sets to estimate the transmitted signals and the space-time channel. Instead, this approach takes advantage of spatial and temporal oversampling techniques and the finite alphabet property of digital signals to determine the user symbol sequences. The problem of channels with largely differing and ill-defined delay spreads is discussed. The proposed approach is tested on actual channel data.
机译:当今无线系统面临的两个关键限制因素是多径干扰和多用户干扰。在这种情况下,具有挑战性的信号处理问题是在多径信道上传输的多个数字信号的联合时空均衡。我们提出了一种不使用训练集来估计传输信号和时空信道的盲法。相反,此方法利用了空间和时间过采样技术以及数字信号的有限字母属性来确定用户符号序列。讨论了信道差异大且延迟扩展定义不明确的问题。在实际的信道数据上测试了所提出的方法。

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