A Modified MIMO Channel Estimation Method Based on Superimposed Training Sequence

Author

Li Hua ; Zhao Qing-hua ; Zhang Wei ; Wang Hua-kui ; Hao Run-fang

Author_Institution

Coll. of Inf. Eng., Taiyuan Univ. of Technol., Taiyuan, China

fYear

2009

fDate

26-28 Dec. 2009

Firstpage

2461

Lastpage

2464

Abstract

A modified MIMO channel estimation method based on superimposed training sequence was proposed for the frequency selective channel. By exploiting the uncorrelation between the training and information sequences, accurate primary channel parameters could be obtained without loss of bandwidth, and using weight factor averaged neighboring channel parameters. This mew method was presented to track the time-varying channel. Compared with the existing approaches, the method was able to achieve lower NMSE, and applicable to time-varying channel tracking. The simulation results show the effectiveness of the proposed method.

Keywords

MIMO communication; channel estimation; wireless channels; bandwidth loss; frequency selective channel; information sequences; modified MIMO channel estimation method; neighboring channel parameters; primary channel parameters; superimposed training sequence; time-varying channel tracking; training sequences; weight factor; Bandwidth; Channel estimation; Chemical technology; Educational institutions; Fading; Gaussian noise; MIMO; Time-varying channels; Transmitters; Wireless communication;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Science and Engineering (ICISE), 2009 1st International Conference on

Conference_Location

Nanjing

Print_ISBN

978-1-4244-4909-5

Type

conf

DOI

10.1109/ICISE.2009.72

Filename

5455485