Performance analysis of semi-blind channel estimation using superimposed training

Author

Meng, Xiaohong ; Tugnait, Jitendra K.

Author_Institution

Dept. of Electr. & Comput. Eng., Auburn Univ., AL, USA

fYear

2005

fDate

5-8 June 2005

Firstpage

32

Lastpage

36

Abstract

Channel estimation for single-input multiple-output (SIMO) time-invariant channels is considered using superimposed training. A periodic (non-random) training sequence is arithmetically added (superimposed) at a low power to the information sequence at the transmitter before modulation and transmission. Recently in Meng and Tugnait (2004), an iterative scheme for joint channel estimation and data detection was presented and illustrated via simulation examples, without any analytical performance analysis. In this paper we present a performance analysis of this iterative channel estimation method. An illustrative simulation example is also provided.

Keywords

channel estimation; iterative methods; modulation; time-varying channels; SIMO time-invariant channel; data detection; iterative scheme; joint channel estimation; modulation; periodic training sequence; single-input multiple-output; superimposed training; transmitter; Analytical models; Channel estimation; Finite impulse response filter; Gaussian noise; Iterative methods; Performance analysis; Power engineering and energy; Power engineering computing; Transmitters; Vectors;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing Advances in Wireless Communications, 2005 IEEE 6th Workshop on

Print_ISBN

0-7803-8867-4

Type

conf

DOI

10.1109/SPAWC.2005.1505866

Filename

1505866