Improved Sphere Decoding Detection Algorithm based on Lattice-Reduction-Aided

WANG Hua-hua; ZHANG Yang; KANG Cheng

doi:10.13756/j.gtxyj.2019.06.010

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Improved Sphere Decoding Detection Algorithm based on Lattice-Reduction-Aided

- Improved Sphere Decoding Detection Algorithm based on Lattice-Reduction-Aided
- Study on Optical communication Issue 6, Pages: 52-57(2019)
- 作者机构：
  
  重庆邮电大学通信与信息工程学院
- 作者简介：
- 基金信息：
- DOI：10.13756/j.gtxyj.2019.06.010
  CLC： TN919.3
- Published：2019，
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[1]王华华,张洋,亢成.一种格基约减辅助的改进球形译码检测算法[J].光通信研究,2019(06):52-57.

WANG Hua-hua, ZHANG Yang, KANG Cheng. Improved Sphere Decoding Detection Algorithm based on Lattice-Reduction-Aided. [J]. (6):52-57(2019)
[1]王华华,张洋,亢成.一种格基约减辅助的改进球形译码检测算法[J].光通信研究,2019(06):52-57. DOI： 10.13756/j.gtxyj.2019.06.010.

WANG Hua-hua, ZHANG Yang, KANG Cheng. Improved Sphere Decoding Detection Algorithm based on Lattice-Reduction-Aided. [J]. (6):52-57(2019) DOI： 10.13756/j.gtxyj.2019.06.010.

摘要

在大规模多输入多输出（MIMO）系统中

当用户数与基站（BS）天线数相当时

线性检测算法的性能很不理想。文章从非线性检测入手

提出一种格基约减（LR）辅助的贪心球形译码算法。通过格基约减算法辅助QR分解来获取更优的正交基并采用贪心策略改进球形译码算法

将每次欧式距离（PED）最小的符号作为根节点向下搜索

更高效地缩减了搜索树节点。理论分析及仿真结果表明

所提算法具有复杂度低且收敛速度快的特点

当系统误码率为10

-4

时

所提算法相较于线性算法有3～10 dB的性能提升。并且算法在一定程度上降低了近来所提出LR-K-Best算法的复杂度

具有较高的工程应用价值。

Abstract

In the massive Multiple-Input Multiple-Output（MIMO） system

when the number of users is comparable（or equal） to the number of Base Station（BS） antennas

the performance of the linear detection algorithm is not ideal. We start with nonlinear detection and propose a greedy sphere decoding algorithm based on Lattice Reduction（LR）. Lenstra-Lenstra-Lovasz algorithm assisted QR decomposition is proposed to obtain orthogonal bases

which then combines the improved sphere decoding algorithm with the greedy strategy. The search tree nodes are reduced more efficiently by searching the smallest Partial Euclidean Distance（PED） as the root node. Simulation results show that the proposed algorithm has the characteristics of low complexity and fast convergence. Compared with linear algorithms

the proposed algorithm has a 3～10 dB performance improvement when the system bit error rate is 10

-4

. Moreover

the algorithm reduces the complexity of the recently proposed LR-K-Best algorithm to a certain extent

and has high engineering application value.

关键词

格基约减大规模多输入多输出球形译码贪心策略

Keywords

lattice reductionmassive MIMOsphere decodinggreedy strategy

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