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论文摘要

V-BLAST系统中基于子空间跟踪的自适应连续干扰消除接收机设计

Adaptive Successive Interference Cancellation Detector Based on Subspace Tracking for V-BLAST Systems

作者:王会琦(四川大学数学学院);吕王勇(四川师范大学 数学与软件科学学院);马洪(四川大学数学学院);周永道(四川大学数学学院)

Author:Wang Huiqi(College of Mathematics, Sichuan University);Lv Wangyong(College of Mathematic and software, Sichuan Normal Univ.);Ma Hong(College of Mathematics, Sichuan University);Zhou Yongdao(College of Mathematics, Sichuan University)

收稿日期:2009-09-18          年卷(期)页码:2010,42(4):148-153

期刊名称:工程科学与技术

Journal Name:Advanced Engineering Sciences

关键字:信号检测;多输入多输出;连续干扰消除;信道估计;子空间跟踪

Key words:signal detection;multiple-input multiple-output;successive interference cancellation;channel estimation;subspace tracking

基金项目:国家自然科学基金资助项目(10571127);国家自然科学基金重点资助项目(10731050)

中文摘要

V-BLAST系统中,当存在信道估计误差时,基于最小均方误差(MMSE)的传统连续干扰消除(SIC)检测器检测性能较差,同时运算量也相对较高。针对这些缺陷,通过利用子空间跟踪算法和Hermitian矩阵扰动理论,提出一种新的自适应混合SIC检测算法及其对应的最优检测顺序。最后的模拟结果显示这种算法不仅提高了检测性能,同时对信道估计误差也有一定的免疫性。

英文摘要

In V-BLAST systems, when channel estimation errors exist, the performance of conventional successive interference cancellation (SIC) detector based on minimum mean square error (MMSE) degrades obviously, meanwhile, computational complexity of these algorithms is still high. In order to overcome these problem, a novel adaptive hybrid SIC detector and the correspondingly optimal detection order were proposed based on the subspace tracking algorithm and Hermitian matrix perturbation theorem. The simulation results showed that the proposed algorithm is effective and has perfect immunity to the accuracy of channel estimation errors.

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