电讯技术2017，Vol.57Issue(8)：885-891,7.DOI:10.3969/j.issn.1001-893x.2017.08.006
基于嵌套张量模型的MIMO中继系统组合接收算法
An Assembled Receiver Algorithm Based on Nested Tensor Model in MIMO Relay Communication Systems
王瑞 1芮国胜 1张洋1
作者信息
- 1. 海军航空工程学院 电子信息工程系,山东 烟台264001
- 折叠
摘要
Abstract
The alternating least squares(ALS) algorithm and Khatri-Rao factorization(KRF) algorithm, which are one-step algorithms,are mainly adopted by receiver algorithms based on nested tensor in multi-ple-input multiple-output( MIMO) relay communication systems. The high computational cost is a domi-nant factor restricting their application under time-varying channel and real-time conditions. For this rea-son,an assembled receiver algorithm based on nested tensor model is proposed by building one-way and two-hop MIMO relay communication system. The processes of symbol estimation and channel estimation are separated by reconstructing received signal,and the computation complexity is reduced effectively. Mo-reover,identifiability conditions of the algorithm are analyzed. Simulation results show that the computation complexity of the algorithm is decreased more than 80% and 50% with different source antennas and relay antennas,while the algorithm has the same estimation performance with nested PARAFAC ALS( NP-ALS) algorithm.关键词
多输入多输出/中继系统/半盲接收/嵌套张量模型Key words
multiple-input multiple-output ( MIMO )/relay system/semi-blind receiver/nested tensor model分类
信息技术与安全科学引用本文复制引用
王瑞,芮国胜,张洋..基于嵌套张量模型的MIMO中继系统组合接收算法[J].电讯技术,2017,57(8):885-891,7.
