Title :
A Low Complexity Algorithm for Channel Estimation of MIMO OFDM System
Author :
Hu, Gaoping ; Li, Dong
Author_Institution :
Inf. Eng. Dept. Commun., Univ. of China Beijing, Beijing
Abstract :
In this paper, we propose a low complexity algorithm for channel estimation of multiple input multiple output (MIMO) orthogonal frequency division multiplexing (OFDM) systems in slow time-varying frequency selective environment. The proposed algorithm was an adaptive channel estimation technique based on an expectation maximization (EM) algorithm for space-time block coded (STBC) MIMO OFDM systems. Simulation results show that in slow fading environment there was no degradation in normalized mean square error (MSE) as we increased the number of users. Comparing the recursive least-squares (RLS) algorithm, the proposed algorithm exploits the structure of Alamouti STBC codes to reduce computational complexity.
Keywords :
MIMO communication; MIMO systems; OFDM modulation; block codes; channel estimation; computational complexity; expectation-maximisation algorithm; least mean squares methods; recursive estimation; space-time codes; time-varying channels; Alamouti STBC codes; MIMO OFDM system; adaptive channel estimation technique; computational complexity; expectation maximization algorithm; mean square error; multiple input multiple output system; orthogonal frequency division multiplexing system; recursive least-squares algorithm; space-time block code; time-varying frequency selective environment; Channel estimation; Computational modeling; Degradation; Fading; Frequency estimation; MIMO; Mean square error methods; OFDM; Resonance light scattering; Time varying systems; EM; channel estimation; mimo ofdm;
Conference_Titel :
Electronic Computer Technology, 2009 International Conference on
Conference_Location :
Macau
Print_ISBN :
978-0-7695-3559-3
DOI :
10.1109/ICECT.2009.8
