Superimposed Training for Estimating of Doubly-Selective OFDM Channels

Author

Yang, Qinghai ; Kwak, Kyung Sup

Author_Institution

Graduate Sch. of Inf. Technol. & Telecommun., Inha Univ., Inchon

Volume

3

fYear

2007

fDate

12-14 Feb. 2007

Firstpage

1652

Lastpage

1655

Abstract

This paper addresses a time-domain superimposed training scheme for estimating time and frequency-selective (doubly-selective) fading channels in orthogonal frequency division multiplexing (OFDM) systems. We first develop a linear least square channel estimator, and meanwhile derive the optimal superimposed symbols with respect to the channel estimates´ mean square error. Next, a low-rank approximated channel estimator is developed by using the singular value decomposition (SVD). Simulation demonstrates our design.

Keywords

OFDM modulation; channel estimation; fading channels; least squares approximations; mean square error methods; singular value decomposition; time-domain analysis; doubly-selective OFDM channel estimation; frequency-selective fading channels; linear least square channel estimator; low-rank approximated channel estimator; mean square error; orthogonal frequency division multiplexing; singular value decomposition; time-domain superimposed training scheme; Bandwidth; Channel estimation; Fading; Frequency estimation; Information technology; Least squares approximation; OFDM; Peak to average power ratio; Recursive estimation; Time domain analysis; OFDM; SVD; Superimposed Training; channel estimate; doubly-selectively fading;

fLanguage

English

Publisher

ieee

Conference_Titel

Advanced Communication Technology, The 9th International Conference on

Conference_Location

Gangwon-Do

ISSN

1738-9445

Print_ISBN

978-89-5519-131-8

Type

conf

DOI

10.1109/ICACT.2007.358687

Filename

4195489