Frequency domain data-aided channel estimation for OFDM signals

Author

Irtuga, V.A. ; Sarana, D.V.

Author_Institution

SAD-COM Ltd., Moscow, Russia

fYear

2014

fDate

6-8 Oct. 2014

Firstpage

29

Lastpage

32

Abstract

An iterative low-complexity channel estimation algorithm for OFDM signals in frequency domain is presented. Algorithm uses initial channel estimation based on pilot subcarriers, 1-D adaptive Wiener filtering in the time direction and Maximum a-posteriori probability (MAP) estimation that uses both pilot and weighted data subcarriers. The final step is the simplified version of an iterative Expectation-Maximization (EM) algorithm that uses only single iteration to reduce total computational complexity.

Keywords

OFDM modulation; Wiener filters; adaptive filters; channel estimation; computational complexity; expectation-maximisation algorithm; frequency-domain analysis; maximum likelihood estimation; 1-D adaptive Wiener filtering; EM algorithm; MAP estimation; OFDM signal; computational complexity; frequency domain data-aided channel estimation; iterative expectation-maximization algorithm; iterative low-complexity channel estimation algorithm; maximum a-posteriori probability; orthogonal frequency-division multiplexing; pilot subcarrier; weighted data subcarrier; Adaptive filters; Channel estimation; Estimation; OFDM; Receivers; Vectors; Wiener filters; EM; MAP; OFDM; Wiener filter; channel estimation; data-aided estimation;

fLanguage

English

Publisher

ieee

Conference_Titel

Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT), 2014 6th International Congress on

Conference_Location

St. Petersburg

Type

conf

DOI

10.1109/ICUMT.2014.7002074

Filename

7002074