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首页> 外文期刊>Signal Processing, IET >Polynomial matrix QR decomposition for the decoding of frequency selective multiple-input multiple-output communication channels
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Polynomial matrix QR decomposition for the decoding of frequency selective multiple-input multiple-output communication channels

机译：多项式矩阵QR分解用于选频多输入多输出通信信道的解码

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摘要

This study proposes a new technique for communicating over multiple-input multiple-output (MIMO) frequency selective channels. This approach operates by calculating the QR decomposition of the polynomial channel matrix at the receiver on the basis of channel state information, which in this work is assumed to be perfectly known. This then enables the frequency selective MIMO system to be transformed into a set of frequency selective single-input single-output systems without altering the statistical properties of the receiver noise, which can then be individually equalised. A like-for-like comparison with the orthogonal frequency division multiplexing scheme, which is typically used to communicate over channels of this form, is provided. The polynomial matrix system is shown to achieve improved performance in terms of average bit error rate results, as a consequence of time-domain symbol decoding.
机译：这项研究提出了一种用于通过多输入多输出（MIMO）频率选择信道进行通信的新技术。该方法通过根据信道状态信息在接收器处计算多项式信道矩阵的QR分解来进行操作，在此工作中假定该信道状态信息是众所周知的。然后，这使得频率选择性MIMO系统可以转换为一组频率选择性单输入单输出系统，而无需更改接收器噪声的统计属性，然后可以分别对其进行均衡。提供了与正交频分复用方案的相似比较，该正交频分复用方案通常用于通过这种形式的信道进行通信。示出了多项式矩阵系统由于时域符号解码而在平均误码率结果方面实现了改进的性能。

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