A complexity-reduced algorithm for soft-output sphere detection in LTE-A Systems

Zhang Aiping; Wang Dan; Li Xiaowen; Zhou Yao; Yu Xiuling

doi:10.13756/j.gtxyj.2015.01.020

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A complexity-reduced algorithm for soft-output sphere detection in LTE-A Systems

- A complexity-reduced algorithm for soft-output sphere detection in LTE-A Systems
- Study on Optical communication Issue 1, Pages: 64-67(2015)
- 作者机构：
  
  重庆邮电大学重庆市移动通信技术重点实验室
- 作者简介：
- 基金信息：
- DOI：10.13756/j.gtxyj.2015.01.020
  CLC： TN929.5
- Published：2015，
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[1]张爱平,王丹,李小文,周瑶,于秀玲.LTE-A系统一种降低复杂度的软球形检测算法[J].光通信研究,2015(01):64-67.

Zhang Aiping, Wang Dan, Li Xiaowen, et al. A complexity-reduced algorithm for soft-output sphere detection in LTE-A Systems. [J]. (1):64-67(2015)
[1]张爱平,王丹,李小文,周瑶,于秀玲.LTE-A系统一种降低复杂度的软球形检测算法[J].光通信研究,2015(01):64-67. DOI： 10.13756/j.gtxyj.2015.01.020.

Zhang Aiping, Wang Dan, Li Xiaowen, et al. A complexity-reduced algorithm for soft-output sphere detection in LTE-A Systems. [J]. (1):64-67(2015) DOI： 10.13756/j.gtxyj.2015.01.020.

摘要

软球形译码算法虽然能接近ML（最大似然）算法的误码性能

但其计算复杂度很高。文章提出了一种降低计算复杂度的SSD（软球形译码）算法

该算法在QR（正交三角）分解算法的反向迭代上三角矩阵R中引入减弱噪声部分以缩小初始搜索半径

然后利用最小距离准则对搜索树进行有效地删减

缩小树搜索空间。MATLAB仿真结果表明

该算法在获得接近传统SSD性能的条件下

能够很大程度地降低系统的计算复杂度。

Abstract

Although soft-output sphere decoding algorithm can approach to the bit error performance of Maximum Likelihood（ML）algorithm

it has high computational complexity.This paper presents a complexity-reduced soft-output sphere decoding algorithm

which introduces the reduced noise element to the reverse iterative upper triangular matrix Rof QR decomposition algorithm so as to narrow the initial search radius.Then it uses the minimum distance criterion to effectively trim the search tree and narrow the tree search space.MATLAB simulation results show that this algorithm can reduce the system computational complexity to a great extent while approaching to the bit error performance of traditional soft sphere decoding.

关键词

LTE-A系统信号检测软球形译码

Keywords

LTE-A systemsignal detectionsoft sphere decoding

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