Adaptive long-range prediction of mobile fading

被引：5

作者：

Heidari, Abdorreza ^{[1
]}

McAvoy, Derek ^{[1
]}

Khandani, Amir K. ^{[1
]}

机构：

[1] Univ Waterloo, Dept Elect & Comp Engn, Waterloo, ON, Canada

来源：

2006 23RD BIENNIAL SYMPOSIUM ON COMMUNICATIONS | 2006年

基金：

加拿大自然科学与工程研究理事会;

关键词：

D O I：

10.1109/BSC.2006.1644608

中图分类号：

TN [电子技术、通信技术];

学科分类号：

0809 ;

摘要：

Long-range prediction of fading in mobile systems is the key element for many fading-compensation techniques. A linear approach, which is usually used to model the time evolution of the fading process, does not perform well for long-range prediction. In this article, we propose an adaptive channel prediction algorithm by using a novel state-space model for the fading process. Our simulations show that this algorithm significantly outperforms the conventional linear method, for both stationary and non-stationary fading processes, especially for long-range predictions'.

引用

页码：219 / +

页数：2

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