Adaptive Wiener filters for time-varying channel estimation in wireless OFDM systems

被引：0

作者：

Schafhuber, D ^{[1
]}

Matz, G ^{[1
]}

Hlawatsch, F ^{[1
]}

机构：

[1] Vienna Univ Technol, Inst Commun & Radio Frequency Engn, A-1040 Vienna, Austria

来源：

2003 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOL IV, PROCEEDINGS: SIGNAL PROCESSING FOR COMMUNICATIONS SPECIAL SESSIONS | 2003年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In wireless OFDM systems, the time-varying channel is often estimated by a Wiener filter-type MMSE estimator based on pilot symbols. Such an estimator, however, requires statistical prior knowledge that is not easily obtained. Here, we propose adaptive Wiener filters for channel estimation that do not require statistical prior knowledge. We also calculate the performance limits of finite-length and infinite-length MMSE estimation. Simulation results demonstrate the good performance of our adaptive estimators.

引用

页码：688 / 691

页数：4

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