列表球解码器的区域高效流水线VLSI实现

Jin Lee, Sin-Chong Park
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引用次数: 4

摘要

由于在多输入多输出(MIMO)信道中寻找晶格上的最近点是np困难的,因此提出了球面解码器(SD)等简化算法。列表球解码器(List sphere decoder, LSD)是SD的改进版本,可以提取软信息进行信道解码和迭代检测/解码。本文综述了近年来提出的利用深度优先树搜索降低SD和LSD计算复杂度的有效方法。在此基础上,提出了一种高效的LSD流水线结构的VLSI实现方法,并对面积效率进行了实值运算
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Area Efficient Pipelined VLSI Implementation of List Sphere Decoder
Since finding the nearest point in a lattice for multi-input multi-output (MIMO) channels is NP-hard, simplified algorithms such as sphere decoder (SD) have been proposed. List sphere decoder (LSD), which is a modified version of SD, allows soft information to be extracted for channel decoding and iterative detection/decoding. In this paper, recently proposed efficient methods for reducing the computational complexity of SD and LSD with depth-first tree searching are summarized. Based on theses methods, VLSI implementation with an efficient pipelined architecture for LSD with real-valued operation for area efficiency is also presented
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