ML-based Iterative Channel And Spatial Covariance Estimation in Asynchronous Interference Environment for OFDMA System

被引：0

作者：

Jang, Jun Hee ^{[1
]}

Han, Jung Su ^{[1
]}

Kim, Sung Soo ^{[2
]}

Choi, Hyung-Jin ^{[1
]}

机构：

[1] Sungkyunkwan Univ, Sch Informat & Commun Engn, Suwon, South Korea

[2] Samsung Elect Co Ltd, Telecommun R&D Ctr, Seoul, South Korea

来源：

2009 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS | 2009年

关键词：

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

To mitigate the asynchronous ICI (Inter-Cell Interference), the CFR (Channel Frequency Response) and SCM (Spatial Covariance Matrix) should be accurately estimated. Therefore, we propose the ML (Maximum Likelihood)-based iterative method which can effectively reduce the estimation error of both CFR and SCM, and improve the performance for OFDMA system such as LTE (3GPP Long Term Evolution).

引用

页码：259 / +

页数：2

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