| 一种近似最优的大规模MIMO检测算法 |
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| 引用本文： | 周围,陈星宇,马茂琼,冉静萱,彭洋.一种近似最优的大规模MIMO检测算法[J].计算机应用与软件,2022,39(3):127-131+153. |
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| 作者姓名： | 周围 陈星宇 马茂琼 冉静萱 彭洋 |
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| 作者单位： | 重庆邮电大学通信与信息工程学院 重庆400065;重庆邮电大学移动通信技术重庆市重点实验室 重庆400065,重庆邮电大学移动通信技术重庆市重点实验室 重庆400065 |
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| 基金项目： | 国家自然科学基金面上项目(61771085)； |
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| 摘 要： | 为了以较低的复杂度获得接近最优的性能,提出一种加权-两阶段迭代(Weighted Two-Stage,WTS)的方案,并采用最速下降法(SD)对WTS方案进行优化处理,利用SD算法为WTS方案提供较为精确的搜索方向,有效加快收敛速度,提高WTS方案的性能。将算法应用在软判决中,与其他几种算法进行比较。仿真结果表明,改进后的方案不仅收敛速度快、逼近MMSE的最优性能,而且对比MMSE算法复杂度下降了一个数量级。
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| 关 键 词： | 大规模多输入多输出 信号检测 最速下降 迭代方法 软判决 |
AN APPROXIMATE OPTIMAL MASSIVE MIMO DETECTION ALGORITHM |
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| Zhou Wei,Chen Xingyu,Ma Maoqiong,Ran Jingxuan,Peng Yang.AN APPROXIMATE OPTIMAL MASSIVE MIMO DETECTION ALGORITHM[J].Computer Applications and Software,2022,39(3):127-131+153. |
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| Authors: | Zhou Wei Chen Xingyu Ma Maoqiong Ran Jingxuan Peng Yang |
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| Affiliation: | (School of Communication and Information Engineering,Chongqing University of Posts and Telecommunications,Chongqing 400065,China;Chongqing Key Laboratory of Mobile Communications Technology,Chongqing University of Posts and Telecommunications,Chongqing 400065,China) |
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| Abstract: | In order to obtain near-optimal performance with lower complexity,a weighted two-stage(WTS)scheme is proposed.The WTS scheme was optimized by using the steepest descent method(SD).The SD algorithm was used to provide more accurate search direction for WTS scheme,which effectively accelerated the convergence speed and improved the performance of WTS solutions.Then the algorithm was applied in soft decision and compared with several other algorithms.Simulation results show that the improved scheme not only has fast convergence speed and approximates the optimal performance of MMSE,but also reduces the complexity by an order of magnitude compared with that of the MMSE algorithm. |
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| Keywords: | Massive MIMO Signal detection Steepest descent Iterative method Soft decision |
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