Training Symbol Design for 2-D Least-Squares Channel Estimation

被引：0

作者：

Wu, Beihua ^{[1
]}

Wang, Yi ^{[2
]}

机构：

[1] East China Univ Polit Sci & Law, Shanghai 201620, Peoples R China

[2] Huawei Technol Co Ltd, Shanghai 201206, Peoples R China

来源：

2012 INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS, NETWORKING AND MOBILE COMPUTING (WICOM) | 2012年

关键词：

Least-squres (LS); Channel estimation (CE);

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Underwater acoustic channel is always a 2-D dispersive channel. For 2-D least-squares channel estimation, the design of training symbols is an open problem. In this paper, (i) we derive the optimal relation between the dimensions of the training matrix and the effective memory lengths of the equivalent discrete-time channel model, and (ii) we propose a simple algorithm for searching suitable training symbols.

引用

页数：4

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