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On the diversity of the Naive Lattice Decoder

机译:关于天真格子解码器的多样性

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摘要

“Naive Lattice Decoding” (NLD) and its low-complexity approximations such as lattice reduction-aided linear decoders represent an alternative to Maximum Likelihood lattice decoders for MIMO systems. Their diversity order has been investigated in recent works. These showed that the NLD achieves only the receive diversity and that MMSE-GDFE left preprocessing followed by NLD or its approximations achieves the maximum diversity. All the theoretical results have so far focused on the diversity order but this is not the only relevant parameter to achieve good performance and the coding gain also needs to be considered. In addition, up to now there has not been any numerical analysis of the actual performance of these techniques for the coded systems for moderate SNR. In this paper, we consider MIMO systems using high-dimensional perfect space-time codes. We show that by adding MMSE-GDFE preprocessing, the NLD has a loss of only 1.5 dB with respect to optimal decoding in the case of the Perfect Code 4×4. However, even with MMSE-GDFE preprocessing, the performance of lattice-reduction aided linear receivers is still very poor for high-dimensional lattices.
机译:“天真格子解码” (NLD)及其低复杂性近似,例如晶格还原辅助线性解码器,代表了MIMO系统的最大似然晶格解码器的替代方案。最近的作品已经调查了他们的多样性秩序。这些显示,NLD只能实现接收多样性,并且MMSE-GDFE留下预处理,然后达到NLD或其近似实现了最大的多样性。到目前为止,所有理论结果都集中在多样性顺序上,但这不是实现良好性能的唯一相关参数,也需要考虑编码增益。此外,目前迄今为止对中等SNR的编码系统的实际性能没有任何数值分析。在本文中,我们考虑使用高维完美时空码的MIMO系统。我们表明,通过添加MMSE-GDFE预处理,在完美的代码4&#X00D7的情况下,NLD在最佳解码中仅具有1.5 dB的损失。然而,即使使用MMSE-GDFE预处理,晶格还原辅助线性接收器的性能仍然非常差,对于高维格子。

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