一种新的基于噪声预测的部分判决反馈MIMO接收算法
doi: 10.3724/SP.J.1146.2006.00768
A Noise-Predictive Partial Decision-Feedback Detection for MIMO Systems
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摘要: 传统垂直-贝尔实验室分层空时结构(V-BLAST)系统采用全排序判决反馈(ODF)算法，能提高线性接收机性能，但也增加系统复杂度。该文在分段检测理论基础上，提出一种改进的采用噪声预测技术的部分判决反馈(PDF)接收算法。它基于MMSE准则，将接收到信号分为两段，只进行一次判决反馈操作，与传统重复排序判决反馈算法相比，大大降低了接收机计算复杂度。仿真结果表明SUI-3信道中天线数为2发4收，误码率为10-4量级的情况下，其性能与V-BLAST相比只下降了0.6 dB左右，但要明显好于线性接收机以及其他改进型MMSE算法，有2~3dB左右的增益。Abstract: The traditional Vertical-Bell Laboratory layered Space-Time(V-BLAST) systems adopt an Ordered Decision-Feedback(ODF) detection strategy, which can significantly outperform the liner detector, however, it increases the computational complexity. Based on the conception of segmented detection, an improved noise-predictive Partial Decision-Feedback(PDF)detector is proposed, it introduces the MMSE principle and divides the receive signals into two segments. Since only feeding back the decision once, the MMSE-PDF detector reduces complexity significantly compared to the conventional ODF detector. The simulation results show that in the condition of SUI-3 channel model, 2 transmission antennas and 4 receive antennas, in the level, compared with the complicated V-BLAST system, the novel receiver only suffers 0.6dB loss, however, it 10-4has more or less 2~3 dB performance gains compared with the linear and other improved receiver based on the MMSE principle.
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