一种基于子空间跟踪的认知MIMO预编码算法
Subspace tracking based precoding algorithm for cognitive MIMO system
朱世磊 1任丙印 1王大鸣 1仵国锋1
作者信息
- 1. 解放军信息工程大学信息工程学院,河南郑州450002
- 折叠
摘要
针对多用户认知MIMO下行系统,提出一种适用于慢衰落信道环境的预编码算法.该算法基于子空间跟踪思想,利用信道时域相关性,通过递推方式自适应更新预编码矩阵来跟踪和适应慢衰落信道环境的变化.分别从算法收敛速度、收敛精度、跟踪性能以及计算复杂度四个方面进行了理论推导和仿真分析.结果表明,所提算法可以有效的跟踪信道环境的动态变化,与传统算法相比,在保证系统性能的同时显著降低了处理复杂度.
Abstract
A precoding algorithm is proposed for the downlink of multi-user cognitive MIMO system in a slow fading channel circumstance.Exploiting the correlation of wireless channel in the time domain,the algorithm can track the wireless channel by updating the precoding matrix in a recursive manner based on the subspace tracking.The theoretical derivations and simulation analysis are completed from 4 aspects:the algorithm convergence rate,convergence precision,tracking capability of time-varying system and computation complexity.Simulations show that the proposed algorithm can track the dynamic changes of the wireless channel and it can reduce the complexity effectively,while guaranteeing its performance compared with traditional one.
关键词
认知MIMO/子空间跟踪/预编码Key words
Cognitive MIMO/subspace tracking/precoding引用本文复制引用
基金项目
国家科技重大专项基金(2011ZX03003-003-02)
国家科技重大专项基金(2009ZX03003-008-02)
国家高技术研究发展计划(863计划)(2009AA011504)
出版年
2013
NETL
NSTL
维普
万方数据