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Maximum signal-to-noise ratio array processing for space-time coded systems

机译:时空编码系统的最大信噪比阵列处理

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摘要

We consider the design of an array processor for space-time coded multi-antenna systems. As an alternative to the previously proposed zero-forcing method, in this paper, the maximum signal-to-noise ratio (SNR) criterion is used to obtain a balance between interference suppression and noise enhancement. Although the same in concept, this work differs from the conventional minimum mean-squared error method in that there is more than one desired signal dimension each corresponding to one of the space-time coded streams. It is shown that the number of linear filters required by the maximum SNR array processor is no more than the dimension of the signal space or the number of collaborating transmit antennas. The advantages of this design are highly improved performance and reduced decoding complexity.
机译:我们考虑了用于时空编码多天线系统的阵列处理器的设计。作为以前提出的零强制方法的替代方法,本文使用最大信噪比(SNR)标准来获得干扰抑制和噪声增强之间的平衡。尽管在概念上相同,但这项工作与常规的最小均方误差方法不同之处在于,存在一个以上的期望信号尺寸,每个信号尺寸对应于一个空时编码流之一。结果表明,最大SNR阵列处理器所需的线性滤波器的数量不超过信号空间的尺寸或协作发射天线的数量。这种设计的优点是性能大大提高,解码复杂度降低。

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