DocumentCode
1239716
Title
Channel estimation and symbol detection for block transmission using data-dependent superimposed training
Author
Ghogho, Mounir ; McLernon, Des ; Alameda-Hernandez, Enrique ; Swami, Ananthram
Author_Institution
Sch. of Electron. & Electr. Eng., Univ. of Leeds, UK
Volume
12
Issue
3
fYear
2005
fDate
3/1/2005 12:00:00 AM
Firstpage
226
Lastpage
229
Abstract
We address the problem of frequency-selective channel estimation and symbol detection using superimposed training. The superimposed training consists of the sum of a known sequence and a data-dependent sequence that is unknown to the receiver. The data-dependent sequence cancels the effects of the unknown data on channel estimation. The performance of the proposed approach is shown to significantly outperform existing methods based on superimposed training (ST).
Keywords
channel estimation; multipath channels; radio receivers; block transmission; channel estimation; data-dependent superimposed training; frequency-selective channel; multipath channels; symbol detection; Bandwidth; Channel estimation; Discrete Fourier transforms; Error analysis; Frequency estimation; Interference; Laboratories; Multipath channels; Signal to noise ratio; Time division multiplexing; Block transmission; estimation; multipath channels; superimposed training;
fLanguage
English
Journal_Title
Signal Processing Letters, IEEE
Publisher
ieee
ISSN
1070-9908
Type
jour
DOI
10.1109/LSP.2004.842283
Filename
1395946
Link To Document