Blind channel estimation for the uplink of MC-CDMA systems with timing offset

WU Hai-feng; DAI Xian-hua; LIANG Jian-qing

您当前的位置：

首页 >

文章列表页 >

Blind channel estimation for the uplink of MC-CDMA systems with timing offset

更新时间：2024-10-14

- Blind channel estimation for the uplink of MC-CDMA systems with timing offset
- Issue 1, Pages: 8-16(2007)
- 作者机构：
  
  1. 中山大学电子与通信工程系
  2. 中山大学电子与通信工程系,广东,广州,510275
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN929.533
- Published：2007
- 稿件说明：
移动端阅览
WU Hai-feng, DAI Xian-hua, LIANG Jian-qing. Blind channel estimation for the uplink of MC-CDMA systems with timing offset[J]. 2007, (1): 8-16.
DOI：

WU Hai-feng, DAI Xian-hua, LIANG Jian-qing. Blind channel estimation for the uplink of MC-CDMA systems with timing offset[J]. 2007, (1): 8-16. DOI：

摘要

为了能在带有时偏的MC-CDMA上行链路中估计信道

提出了一种新的信道估计方法。该方法能消除时偏对信道估计产生的影响

从而无需系统同步就能准确估计出信道。另外

由于扩频序列的信息对接收端是已知的

因此该信道估计方法可以利用扩频码的信息来完成盲估计。最后的仿真结果显示

该信道估计方法有良好的性能。

Abstract

A new blind channel estimation scheme was proposed for the uplink of multicarrier code-division multiple ac-cess（MC-CDMA） systems with timing offset（TO）.The scheme can cancel TO effects on the channel estimation

and thus work well without synchronizing the system.In addition

the estimation can exploit the knowledge of the spreading sequences to accomplish a blind estimation since the spreading sequences are known for the receiver.In computer simu-lations

the new channel estimation provides a satisfactory performance.

关键词

Keywords

references

Views

805

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Low-complexity and frequency-offset-robust synchronization algorithm based on CAZAC sequence

Synchronization based on preamble symbol for DVB-T2 system

Hybrid data synchronization mechanism for mobile computing

Blind frequency tracking based on time-domain spreading for MB-OFDM-UWB systems

Blind frequency-domain channel estimation for STBC-SC-FDE systems via redundant precoding

Related Author

Yang GAO

Fengkui GONG

Ni WEN

Guo LI

Jie TANG

Fang WANG

Ming-qi LI

Xiao-long XU

Related Institution

State Key Laboratory of Integrated Service Networks, Xidian University

Shanghai Advanced Research Institute，Chinese Academy of Sciences

University of Chinese Academy of Sciences

School of Information Science and Technology，Shanghai Tech.University

College of Computer, Nanjing University of Posts and Telecommunications

AI问答

⁰