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Maximum Likelihood Criterion Based Space-Time Linear Precoding Method for Eigenmode SNR Increasing

机译:本征模SNR提高的基于最大似然准则的空时线性预编码方法

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This paper discusses a method for increasing the eigenmode SNR hy using a space-time linear precoder designed on a maximum likelihood (ML) basis (henceforth called the space-time linear ML precoder). First, the effect of the length of the precoded signal generated in the ML precoder on the eigenmode SNR is studied. It is shown that the eigenmode SNR can be increased by varying the pre-coded signal length depending on the condition of the channel. Next, a transceiver configuration for increasing the eigenmode SNR by the space-time linear ML precoder is presented. In the proposed method, error propagation may be generated due to the transceiver configuration and the BER characteristics may be degraded, even if the eigenmode SNR is increased. In this paper, in order to reduce the effect of the error propagation on the BER characteristics, the relationship between the average length of the error propagation and the precoded signal length in the proposed configuration is presented. It is demonstrated that the effect of error propagation can be minimized by limiting the region of search for the precoded signal length. Finally, the effectiveness of the proposed method is verified by numerical simulation.
机译:本文讨论了一种使用以最大似然(ML)为基础设计的时空线性预编码器(以下称为空时线性ML预编码器)来提高本征模SNR hy的方法。首先,研究了在ML预编码器中生成的预编码信号的长度对本征模SNR的影响。示出了可以根据信道的条件通过改变预编码的信号长度来增加本征模SNR。接下来,提出了一种用于通过空时线性ML预编码器提高本征模式SNR的收发器配置。在所提出的方法中,即使增加了本征模SNR,也可能由于收发器配置而产生错误传播,并且BER特性可能下降。在本文中,为了减少错误传播对BER特性的影响,提出了所提出的配置中错误传播的平均长度与预编码信号长度之间的关系。已经证明,通过限制预编码信号长度的搜索区域可以使误差传播的影响最小化。最后,通过数值仿真验证了该方法的有效性。

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