| 摘要: |
| 大规模多输入多输出（Multiple-Input Multiple-Output，MIMO）系统由于具备较多的天线数，会导致传统线性信号检测算法如最小均方误差（Minimum Mean Square Error，MMSE）的复杂度过高。针对以上问题，提出了F修正的自适应超松弛迭代（F-corrected Adaptive Successive over Relaxation，FA-SOR）检测算法。该算法首先利用超松弛迭代（Successive over Relaxation，SOR）算法避免高阶矩阵求逆运算，降低复杂度；其次使用F修正的公式自动更新SOR算法迭代使用的松弛参数，同时优化迭代的公式与初始解来加快收敛速度。仿真结果表明，不论在理想独立信道还是相关信道下，相比于现有的自适应SOR算法，FA-SOR都能以更低的复杂度达到更低的误码率，同时逼近MMSE算法的性能。 |
| 关键词: 大规模MIMO 信号检测 超松弛(SOR)算法 松弛参数 |
| DOI：10.20079/j.issn.1001-893x.220820001 |
|
| 基金项目:国家自然科学基金资助项目（61501244，61501245）；江苏省自然科学基金项目（BK20150932） |
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| An Improved Adaptive SOR Detection Algorithm for Massive MIMO Systems |
| LU Jia,LI Peng,FENG Jiao |
| (School of Electronic and Information Engineering，Nanjing University of Information Science and Technology，Nanjing 210044，China) |
| Abstract: |
| Massive multiple-input multiple-output(MIMO) systems have a large number of antennas,which will lead to the high complexity of traditional linear signal detection algorithms such as Minimum Mean Square Error(MMSE).In response to the above problem,the F-corrected Adaptive Successive over Relaxation(FA-SOR) detection algorithm is proposed.Firstly,the Successive over Relaxation(SOR) iterative algorithm is used to avoid high dimensional matrix inversion operations to reduce algorithm complexity.Then,to improve the convergence speed,the relaxation parameters for SOR will update after each iteration according to the F-corrected formula,also the iterative formula and initial solution for SOR are optimized.The simulation results show that the FA-SOR is capable of reducing the computational complexity of other SOR adaptive algorithms when both of them achieve the same bit error rate no matter in the ideal independent channel or the correlated channel. |
| Key words: massive MIMO signal detection successive over relaxation(SOR) detector relaxation factor |
