论文标题
最佳的增强通道刺穿，用于低复杂性软输出MIMO探测器
Optimal Augmented-Channel Puncturing for Low-Complexity Soft-Output MIMO Detectors
论文作者
论文摘要
我们为多输入多输出通道的计算效率软输出检测器提出了基于增强通道的刺穿，以降低树木处理的复杂性。所提出的探测器称为增强的WL检测器（AWLD），采用了一个刺穿的通道，其特殊结构通过以增强形式进行三角形的特殊结构，然后进行高斯消除。我们证明，基于新提出的不匹配的检测模型，这些刺穿的通道在最大程度地限制了可实现的信息率（AIR）方面是最佳的。我们表明，AWLD分解为最小均方误差（MMSE）的前滤器和通道增益薪酬阶段，然后是常规的未加重WL检测器（WLD）。它的性能与现有的空气部分边缘化（AIR-PM）探测器相同，但处理得很简单。
We propose a computationally-efficient soft-output detector for multiple-input multiple-output channels based on augmented channel puncturing in order to reduce tree processing complexity. The proposed detector, dubbed augmented WL detector (AWLD), employs a punctured channel with a special structure derived by triangulizing the original channel in augmented form, followed by Gaussian elimination. We prove that these punctured channels are optimal in maximizing the lower-bound on the achievable information rate (AIR) based on a newly proposed mismatched detection model. We show that the AWLD decomposes into a minimum mean-square error (MMSE) prefilter and channel-gain compensation stages, followed by a regular unaugmented WL detector (WLD). It attains the same performance as the existing AIR partial marginalization (AIR-PM) detector, but with much simpler processing.
