基于主导条件和局部极小剪枝机制的SISO检测算法  

SISO detection algorithm based on dominant condition and local minimal pruning mechanism

作　　者：乔琪 赵辉 Qiao Qi;Zhao Hui(School of Computer and Communication Engineering,Jiangsu Vocationnal College of Electronics and Information,Huaian 223003,China;College of Education,University of Cadillera,Baguio 2600,Philippines;College of Information and Electrical Engineering,Hebei University of Engineering,Handan 056038,China)

机构地区：[1]江苏电子信息职业学院计算机与通信学院,淮安223003 [2]菲律宾凯迪雷拉大学教育学院,碧瑶2600 [3]河北工程大学信息与电气工程学院,邯郸056038

出　　处：《国外电子测量技术》2021年第7期37-44,共8页Foreign Electronic Measurement Technology

基　　金：江苏省产学研合作项目(BY2020306);淮安市自然科学研究计划项目(HAB201912)资助。

摘　　要：针对多输入多输出通信系统的迭代检测和解码,提出了一种低复杂度的软输入软输出(SISO)检测算法。算法将硬输入硬输出情形下的基本解码器推广到SISO情形,利用信道矩阵的性质和传输比特上的先验信息,通过主导条件的分析,在每个节点上应用主导条件作为剪枝准则,并通过基于指标的局部极小定义的剪枝机制,将候选集强减至对数似然比的计算,从而实现总的复杂度的降低;仿真结果表明,提出的算法在误码率和总的计算复杂度方面相比于其他典型的低复杂度算法有所改善,甚至接近最优解。For the iterative detection and decoding of multi-input and multi-output communication system, a soft-input soft-output detection algorithm with low complexity is proposed.The proposed algorithm extends the basic decoder for the hard-input hard-ouput case to the SISO case.It exploits the properties of the channel matrix and the a-priori information on the trasmitted bits, the dominant condition is applied to each node as the pruning criterion through the analysis of the dominant condition, and the set of candidates is strongly reduced to the computation of the log-likelihood ratios via a pruning mechanism based on the definition of local minimum of the metric, so as to achieve the total complexity reduction;The simulation results show that the proposed algorithm is better than other typical low complexity algorithms in terms of bit error rate and total computational complexity, and even close to the optimal solution.

关 键 词：多输入多输出通信 检测和解码 软输入软输出 树搜索 计算复杂度 

分 类 号：TN929.5[电子电信—通信与信息系统]