Title :
Frequency domain data-aided channel estimation for OFDM signals
Author :
Irtuga, V.A. ; Sarana, D.V.
Author_Institution :
SAD-COM Ltd., Moscow, Russia
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;
Conference_Titel :
Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT), 2014 6th International Congress on
Conference_Location :
St. Petersburg
DOI :
10.1109/ICUMT.2014.7002074
