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。
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.
作者
周围
陈星宇
马茂琼
冉静萱
彭洋
Zhou Wei;Chen Xingyu;Ma Maoqiong;Ran Jingxuan;Peng Yang(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)
出处
《计算机应用与软件》
北大核心
2022年第3期127-131,153,共6页
Computer Applications and Software
基金
国家自然科学基金面上项目(61771085)
重庆市基础与前沿研究计划项目(cstc2015jcyj A40040)。
