Multi-level SINR thresholding for reduced complexity MIMO detection

A. Sinha, Mohit Agarwal, A. Chaturvedi
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引用次数: 3

Abstract

In previous research works, it was established that the post-processing signal-to-interference-and-noise ratio (SINR) distribution of MMSE (Minimum Mean Square Error) detector shows the potential of high reliability in the high-SINR detected symbols. In this paper, a new algorithm with reduced complexity is proposed exploiting the fact that reliability of MMSE estimated symbols increases with increase in post-processing SINR. For high SINR region, MMSE estimated symbols are retained as the final decisions and the remaining symbols are grouped into different regions based on the SINR. Based on the group in which the symbols lie, we restrict the search space and feed it into SD (Sphere Decoder). A SD-SE (Schnorr-Euchner) implementation of SD algorithm is used for comparison of results.
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多级信噪比阈值降低复杂性MIMO检测
在以往的研究工作中,MMSE (Minimum Mean Square Error,最小均方误差)检测器的后处理信噪比(SINR)分布在高信噪比检测符号中显示出高可靠性的潜力。本文利用MMSE估计符号的可靠性随后处理信噪比的增加而增加的特点,提出了一种降低复杂度的新算法。对于高信噪比区域,保留MMSE估计符号作为最终决策,剩余符号根据信噪比分组到不同区域。根据符号所在的群限制搜索空间,并将其输入到球形解码器(SD)中。SD算法的SD- se (Schnorr-Euchner)实现用于结果比较。
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