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A low complexity algorithm and architecture for MIMO detection without QR decomposition

机译：一种无需QR分解的低复杂度MIMO检测算法和架构

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摘要

This paper presents a novel low-complexity, hard output multiple-input, multiple-output (MIMO) detection algorithm and architecture for LTE and WiFi applications. Our method provides a well-defined tradeoff between computational complexity and performance. The proposed algorithm does not require QR decomposition as a preprocessing step, as is commonly needed in sphere detection (SD). Simulation results for 3×3 and 4×4 MIMO configurations with both 16 and 64 QAM constellations show that the proposed algorithm uses a much smaller number of Euclidean distance (ED) calculations than other methods while having only a 0.5 dB loss compared to maximum likelihood detection. A 3×3 MIMO system with a 16 QAM detector architecture is also described, and the associated latency and hardware costs are given.
机译：本文针对LTE和WiFi应用提出了一种新颖的低复杂度，硬输出多输入多输出（MIMO）检测算法和体系结构。我们的方法在计算复杂度和性能之间提供了明确定义的权衡。所提出的算法不需要QR分解作为预处理步骤，这是球面检测（SD）通常需要的。具有16个和64个QAM星座的3×3和4×4 MIMO配置的仿真结果表明，与其他方法相比，所提出的算法使用的欧几里德距离（ED）计算数量少得多，而与最大似然相比损失只有0.5 dB检测。还描述了具有16 QAM检测器架构的3×3 MIMO系统，并给出了相关的延迟和硬件成本。

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