计算机工程2017，Vol.43Issue(7)：141-145,5.DOI:10.3969/j.issn.1000-3428.2017.07.023
基于空时域压缩的大规模MIMO导频污染抑制算法
Pilot Contamination Mitigation Algorithm in Massive MIMO Based on Spatial-Temporal Domain Compression
摘要
Abstract
The problem of pilot contamination is the main factor which influences the performance of Massive Multiple Input Multiple Output(MIMO) system.In order to solve this problem,this paper proposes a new pilot contamination mitigation algorithm in massive MIMO.Firstly,a two-dimensional compression sensing model in spatial and temporal domains is built.Then,pilot signal reconstruction is carried out by using Orthogonal Matching Pursuit(OMP) algorithm.The simulation results show that compared with precoding algorithm based on Minimum Mean Square Error(MMSE),under the condition of the same system demand,this algorithm can further reduce the number of pilots to mitigate pilot contamination effectively and improve the whole performance of massive MIMO system.关键词
导频污染/大规模多输入多输出系统/空时域/压缩感知/重构Key words
pilot contamination/massive Multiple Input Multiple Output(MIMO) system/spatial-temporal domain/compressive sensing/reconstruction分类
信息技术与安全科学引用本文复制引用
龙恳,闫冰冰,刘月贞,杜飞..基于空时域压缩的大规模MIMO导频污染抑制算法[J].计算机工程,2017,43(7):141-145,5.基金项目
国家科技重大专项(2014ZX03003004-003). （2014ZX03003004-003）
