SISO and MIMO channel estimation and symbol detection using data-dependent superimposed training

Author

Ghogho, Mounir ; McLernon, Des ; Alameda-Hemandez, E. ; Swami, Ananthram

Author_Institution

Sch. of Electron. & Electr. Eng., Leeds Univ., UK

Volume

3

fYear

2005

fDate

18-23 March 2005

Abstract

We address the problem of frequency-selective channel estimation and symbol detection using superimposed training. Both single and multiple antenna systems are studied. The superimposed training consists of the sum of a known sequence and a data-dependent sequence 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 outperform significantly existing methods based on superimposed training.

Keywords

MIMO systems; channel estimation; learning (artificial intelligence); radio receivers; sequences; signal detection; MIMO channel estimation; SISO channel estimation; data-dependent sequence; data-dependent superimposed training; frequency-selective channel estimation; multiple antenna systems; receiver; single antenna systems; symbol detection; Bandwidth; Channel estimation; Error analysis; Frequency division multiplexing; Frequency estimation; Laboratories; Lead; MIMO; Signal to noise ratio; Time division multiplexing;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 2005. Proceedings. (ICASSP '05). IEEE International Conference on

ISSN

1520-6149

Print_ISBN

0-7803-8874-7

Type

conf

DOI

10.1109/ICASSP.2005.1415746

Filename

1415746